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Content-Location: file:///C:/A2CBB24E/Recognition_files/master04.xml
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Content-Type: text/xml; charset="utf-8"
Recognizing Objects: Feature Matching
•<=
/span>Problem: Match when viewing conditions change a lot.
–<=
/span>Lighting changes: brightness constancy false.
=
–<=
/span>Viewpoint changes: appearance changes, many viewpoints.
•<=
/span>One Solution: Match using edge-based features.
=
;
–<=
/span>Edges less variable to lighting, viewpoint.
–<=
/span>More compact representation can lead to efficiency=
.
•<=
/span>Match image or object to image
–<=
/span>If object, matching may be asymmetric
<=
/span>
–<=
/span>Object may be 3D.
•<=
/span>Line finding was an example: line=3Dobject; points=
=3Dimage.
![](3D"slide0180_image001.jpg")
![](3D"slide0180_image002.jpg")
Lighting
affects appearance
Problem Definition
•<=
/span>An Image is a set of 2D geometric features, along with positions.
•<=
/span>An Object is a set of 2D/3D geometric =
features, along with positions.
=
•<=
/span>A pose positions the object relative to the image.
–<=
/span>2D Translation; 2D translation + rotation; 2D translation, rotation and scale; planar or 3D obje=
ct positioned in 3D with perspective or scaled orth.&=
#13;
•<=
/span>The best pose places the object features nearest the image features
Strategy
•B=
uild
feature descriptions
•S=
earch
possible poses.
=
–C=
an
search space of poses
<=
/span>
–Or
search feature matches, which produce pose
•T=
ransform
model by pose.
•C=
ompare
transformed model and image.
•P=
ick
best pose.
Presentation Strategy
•Already discussed finding features.=
3;
•First discuss picking =
best
pose since this defines the problem.
•Second discuss search
methods appropriate for 2D.
•Third discuss transfor=
ming
model in 2D and 3D.
•Fourth discuss search =
for
3D objects.
•<=
/span>
•<=
/span>
Example
![](3D"slide0154_image004.jpg")
![](3D"slide0154_image005.gif")
Evaluate Pose
=
226;We
look at this first, since it defines the problem.
&#=
8226;Again,
no perfect measure;
=
211;Trade-offs
between veracity of measure and computational considerations.
Chamfer Matching
![](3D"slide0155_image007.gif")
![](3D"slide0155_image008.gif")
![](3D"slide0155_image009.gif")
![](3D"slide0155_image010.gif")
![](3D"slide0155_image011.gif")
<=
span
style=3D'font-family:Arial;color:#FF9900;mso-color-index:4;mso-special-for=
mat:
lastCR;display:none'>
For every edge point in the transformed object, compute the distance to the nearest image edge point.
Sum distances.
![](3D"slide0155_image013.gif")
![](3D"slide0157_image014.gif")
Main Feature:
• Every model point matc=
hes an
image point.
• An image point can mat=
ch 0,
1, or more model
points.
Variations
•<=
/span>Sum a different distance
–<=
/span>f(d) =3D d2 =
–<=
/span>or Manhatt=
an
distance.
–<=
/span>f(d) =3D 1 if d <
threshold, 0 otherwise.
–This is called bounded
error.
•<=
/span>Use maximum distance instead of sum.
–<=
/span>This is called: directed
Hausdorff distance.
•<=
/span>Use other features
–<=
/span> Corners.
–<=
/span>Lines. Then
position and angles of lines must be similar.
•<=
/span>Model line may be subset of image line.
•
•
•
Other comparisons
•Enforce each image f=
eature
can match only one model feature.
•Enforce
continuity, ordering along curves.
<=
span
class=3DBB style=3D'position:absolute;left:-4.26%'>•These are=
more
complex to optimize.
Presentation Strategy
•Already discussed finding features.=
3;
•First discuss picking =
best
pose since this defines the problem.
•Second discuss search methods appropriate for 2D.
•Third discuss transfor=
ming
model in 2D and 3D.
•Fourth discuss search =
for
3D objects.
•<=
/span>
•<=
/span>
Pose Search
<=
span
class=3DBB style=3D'position:absolute;left:-4.07%'>•Simplest =
approach
is to try every pose.
•Two probl=
ems:
many poses, costly to evaluate each.
•We can re=
duce the
second problem with:![](3D"slide0158_image015.gif")
Pose:
Chamfer Matching with the Distance
Transform
=
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
4
=
Example: Each pixel has (Manhat=
tan) distance to nearest edge pixel.=
D.T. Adds Efficiency
![](3D"slide0152_image016.gif")
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
4
Then, try all translations of model edges. Add distances under each edge pixel.=
Computing
Distance Transform
•<=
/span>It’s only done once, per problem, not once <=
/span>per pose.
•<=
/span>Basically a shortest path problem.
•<=
/span>Simple solution passing through image once =
for each distance.
–<=
/span>First pass mark edges 0.
–<=
/span>Second, mark 1 anything next to 0, unless it’=
;s already marked.&n=
bsp;
Etc….
•<=
/span>Actually, a more clever method requires 2 <=
/span>=
passes.
Pose: Ransac
•Match enough features =
in
model to features in image to determine pose.
•Examples:
<=
/div>
–match a point and deter=
mine
translation.
–match a corner and
determine translation and rotation.
–Points and translation,
rotation, scaling?
–Lines and rotation and
translation?
•<=
/span>
![](3D"slide0175_image017.gif")
![](3D"slide0175_image018.gif")
![](3D"slide0175_image019.gif")
![](3D"slide0175_image020.gif")
![](3D"slide0175_image021.gif")
![](3D"slide0175_image022.gif")
![](3D"slide0175_image023.gif")
![](3D"slide0175_image024.gif")
![](3D"slide0175_image025.gif")
![](3D"slide0175_image026.gif")
![](3D"slide0175_image027.gif")
![](3D"slide0175_image028.gif")
![](3D"slide0175_image029.gif")
![](3D"slide0175_image030.gif")
Pose:
Generalized Hough Transfo=
rm
•Like Hough Transform=
, but
for general shapes.
•Example: match one p=
oint
to one point, and for every rotation of the object its translation
is determined.
Presentation Strategy
•Already discussed finding features.=
3;
•First discuss picking =
best
pose since this defines the problem.
•Second discuss search
methods appropriate for 2D.
•Third discuss transforming model in 2D and 3D.
•Fourth discuss search =
for
3D objects.
•<=
/span>
•<=
/span>
Computing Pose: Points
&#=
8226;Solve
I =3D S*P.
&=
#8211;In
Structure-from-Motion, we knew I.
&=
#8211;In
Recognition, we know P.
&#=
8226;This
is just set of linear equations
–Ok,
maybe with some non-linear constraints.
Linear Pose: 2D Translation
![](3D"slide0168_image032.gif")
We know x,y,u,v, need to find translation.
=
;
For one point, u1 - x1 =
=3D tx ; v1 - x1 =3D ty&=
#13;
For more points we can solve a least squares problem.
Linear
Pose: 2D rotation, transla=
tion
and scale
![](3D"slide0169_image034.gif")
• Notice a and b can take on any values.
• Equations linear in a, b, translation.
• Solve exactly with 2 po=
ints,
or =
overconstrained
system with more.
•
![](3D"slide0169_image036.gif")
Linear Pose: 3D Affine
![](3D"slide0170_image038.gif")
Pose:
Scaled Orthographic Project=
ion of
Planar points
![](3D"slide0172_image040.gif")
s1,3, s2,3 disappear. Non-linear constraints disappear =
with them.
Non-linear pose
•A bit trickier. Some results:
•2D rotation and
translation. Need 2 <=
span
style=3D'position:absolute;top:43.5%;left:12.17%;width:79.4%;height:6.75%'=
>points.
•3D scaled
orthographic. Need 3 points,=
give
2 solutions.
•3D perspective, camera
known. Need 3 points. Solve 4th degree polynomial. 4 solutions.
Transforming the Object
![](3D"slide0173_image042.gif")
![](3D"slide0173_image044.gif")
We don’t really want to know pose, we wa=
nt to
know what the obje=
ct
looks like in that pose.
![](3D"slide0173_image045.gif")
We start with:
Solve for pose:
=
Project rest of points:
Transforming
object with Linear Combina=
tions
![](3D"slide0174_image047.gif")
No 3D model, but we’ve seen object twice before.
![](3D"slide0174_image049.gif")
See
four points in th=
ird
image, need to fi=
ll in
location of other points.=
Just
use rank theorem.
Recap:
Recognition w/ RANSAC
<=
span
style=3D'font-size:75%'>1.Find
features in model and image.
<=
span
style=3D'font-size:71%'>–Such as
corners.
<=
span
style=3D'font-size:75%'>2.Match
enough to determine pose.
=
–Such as 3 =
points
for planar object, scaled orthographic projection.
<=
span
style=3D'font-size:75%'>3.Determine
pose.
<=
span
style=3D'font-size:75%'>4.Project
rest of object features into image.
<=
span
style=3D'font-size:75%'>5.Look
to see how many image features they match.
=
–Example: w=
ith
bounded error, count how many object features
project near an image feature.
<=
span
style=3D'font-size:75%'>6.Repeat
steps 2-5 a bunch of times.
<=
span
style=3D'font-size:75%'>7.Pick
pose that matches most features.
![](3D"slide0188_image051.jpg")
Figure from
“Object recognition using alignment,” D.P. Huttenlocher and S.=
=
Ullman, Proc. Int. Conf. Computer
Vision, 1986, copyright IEEE, 1986
Recognizing 3D Objects
&#=
8226;Previous
approach will work.
=
226;But
slow. RANSAC considers n3<=
/span>m3<=
/span> possible matches. About m3 correct.
&#=
8226;Solutions:
=
211;Grouping. Find features coming from =
single
object.
=
211;Viewpoint
invariance. Match to small s=
et of model
features that could produce them.
Grouping: Continuity
![](3D"slide0182_image053.jpg")
![](3D"slide0182_image054.gif")
![](3D"slide0182_image055.gif")
![](3D"slide0182_image056.gif")
![](3D"slide0182_image057.gif")
![](3D"slide0182_image058.gif")
![](3D"slide0182_image059.gif")
Connectivity
•<=
/span>Connected lines likely to come from boundary =
of same object.
–<=
/span>Boundary of object often produces connected contours.
–<=
/span>Different objects more rarely do; only when overlapping.
•<=
/span>Connected image lines match connected model lines.
–<=
/span>Disconnected model lines generally don’t app=
ear connected.
Other Viewpoint Invariants
Planar Invariants
![](3D"slide0185_image061.gif")
A
t
![](3D"slide0186_image062.gif")
![](3D"slide0186_image063.gif")
![](3D"slide0186_image064.gif")
p1
p2
p3
p4
p4=
=3D p1
+ a(p2-p1) + b(p3-p1)
A(=
p4)+ t
=3D A(p1+a(p2-p1) + b(p3-p1)) + t
<=
span
style=3D'mso-spacerun:yes'> =
;
=3D A(p1)+t + a(A(p2)+t – A(p1)-t) + b(A(p3)+t –
A(p1)-t)
p4 is linear combination of p1,p2,p3. Transformed p4 is same linear combination of transformed p1, p2, p3.<=
/span>
![](3D"slide0190_image066.jpg")
Figures by ki=
nd
permission of Eric Grimson; further information can be obtained from his web site
http://www.ai.mit.edu/people/welg/welg.html.
![](3D"slide0191_image068.jpg")
Figures by ki=
nd
permission of Eric Grimson; further information can be obtained from his web site
http://www.ai.mit.edu/people/welg/welg.html.
![](3D"slide0192_image070.jpg")
Figures by ki=
nd
permission of Eric Grimson; further information can be obtained from his web site
http://www.ai.mit.edu/people/welg/welg.html.
![](3D"slide0193_image072.jpg")
Figures by ki=
nd
permission of Eric Grimson; further information can be obtained from his web site
http://www.ai.mit.edu/people/welg/welg.html.
![](3D"slide0194_image074.jpg")
Figures by ki=
nd
permission of Eric Grimson; further information can be =
obtained from his web site
http://www.ai.mit.edu/people/welg/welg.html.
What we didn’t talk about
‹header›
‹date/time&=
#8250;
Click to edit Master text styles
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‹footer›
‹#›
Figure 18.1 - caption tells the =
story
Here segmentation is being used =
to break
up a single MRI slice into regions
which are assembled into a 3D mo=
del like
so
Patient is being imaged with a s=
canner
A view showing the patient and m=
odel
details superimposed
A patient with a view of the tis=
sue the
surgeon needs to remove
superimposed; the view is
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PPTSld.location.replace(MHTMLPrefix+obj.mSldHref)
if( IsFramesMode() ) {
UpdNavPane(); UpdOtlPane(); UpdNtsPane()
}
}
function GoToSld( href )
{
if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue
GetHrefObj( GetSldNum(href) ).mVis=3D1
PPTSld.location.replace(MHTMLPrefix+href)
}
function SldUpdated( id )
{
if( id =3D=3D GetHrefObj(gCurSld).mSldHref ) return
gPrevSld=3DgCurSld
gCurSld=3DGetSldNum(id)
if( IsFramesMode() ) {
UpdNavPane(); UpdOtlPane(); UpdNtsPane()
}
}
function PrevSldViewed(){ GoToSld( GetHrefObj(gPrevSld).mSldHref ) }
function HasPrevSld() { return ( gIsEndShow || ( gCurSld !=3D 1 && GetHrefO=
bj( gCurSld-1 ).mVis =3D=3D 1 )||( GetCurSldNum() > 1 ) ) }
function HasNextSld() { return (GetCurSldNum() !=3D GetNumSlds()) }
function CloseWindow() {
if( HideMenu() ) return;
=09
var event =3D PPTSld.event;
if( !IsFramesMode() && event && (event.keyCode=3D=3D27 || event.keyCode=3D=
=3D32 || event.type=3D=3D"click" ) )
window.close( self );
CatchNumKeys( self, event );
}
function Unload() { gIsEndShow=3D0; }
function SetupEndShow() {
gIsEndShow=3D1;
PPTSld.document.body.scroll=3D"no";
PPTSld.document.onkeypress=3DCloseWindow;
PPTSld.document.onclick=3DCloseWindow;
PPTSld.document.oncontextmenu=3D_CM;
}
function EndShow()
{
if( IsFramesMode() ) return
if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue
doc=3DPPTSld.document
var dir =3D doc.body.dir
if( dir !=3D "rtl" ) dir =3D "ltr";
doc.open()
doc.writeln(' 0) {
PushSldList(sldList,fEnd);
gCurSld =3D 1;
}
else
if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue
}
function PushSldList(arr,fEnd) {
var ii =3D gSldStack.length;
gSldStack[ii] =3D new SldList(arr,gCurSld,fEnd);
GoToSld( gSldStack[ii].mList[0].mSldHref );
}
function PopSldList() {
if (gSldStack[gSldStack.length-1].fEndShow)
EndShow()
else {
gCurSld =3D gSldStack[gSldStack.length-1].mCurSld;
gSldStack[gSldStack.length-1] =3D null;
gSldStack.length--;
var sldList =3D gSldStack[gSldStack.length-1];
GoToSld( sldList.mList[gCurSld - 1].mSldHref );
}
}
var custShowList=3Dnew Array();
/*********************************************
Navigation button implementation
There are 2 types of buttons: ImgBtn, TxtBtn
implemented as function objects. They share
a similiar interface so the event handlers
can call SetActive, for example, on a button=20
object without needing to know exactly=20
what type of button it is.
**********************************************/
//----------------------------------
function ImgBtn( oId,bId,w,action )
//----------------------------------
{
var t=3Dthis
t.Perform =3D _IBP
t.SetActive =3D _IBSetA
t.SetInactive=3D _IBSetI
t.SetPressed =3D _IBSetP
t.SetDisabled=3D _IBSetD
t.Enabled =3D _IBSetE
t.ChangeIcon =3D null
t.UserAction =3D action
t.ChgState =3D _IBUI
t.mObjId =3D oId
t.mBorderId=3D bId
t.mWidth =3D w
t.mIsOn =3D t.mCurState =3D 0
}
function _IBSetA()
{
if( this.mIsOn ) {
obj=3Dthis.ChgState( gHiliteClr,gShadowClr,2 )
obj.style.posTop=3D0
}
}
function _IBSetI()
{
if( this.mIsOn ) {
obj=3Dthis.ChgState( gFaceClr,gFaceClr,1 )
obj.style.posTop=3D0=20
}
}
function _IBSetP()
{
if( this.mIsOn ) {
obj=3Dthis.ChgState( gShadowClr,gHiliteClr,2 )
obj.style.posLeft+=3D1; obj.style.posTop+=3D1
}
}
function _IBSetD()
{ =20
obj=3Dthis.ChgState( gFaceClr,gFaceClr,0 )
obj.style.posTop=3D0=20
}
function _IBSetE( state )
{
var t=3Dthis
GetObj( t.mBorderId ).style.visibility=3D"visible"
if( state !=3D t.mIsOn ) {
t.mIsOn=3Dstate
if( state )
t.SetInactive()
else
t.SetDisabled()
}
}
function _IBP()
{
var t=3Dthis
if( t.mIsOn ) {
if( t.UserAction !=3D null )
t.UserAction()
if( t.ChangeIcon ) {
obj=3DGetObj(t.mObjId)
if( t.ChangeIcon() )
obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-4)*t.mWidth
else
obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-0)*t.mWidth
}
t.SetActive()
} =20
}
function _IBUI( clr1,clr2,nextState )
{
var t=3Dthis
SetBorder( GetObj( t.mBorderId ),clr1,clr2 )
obj=3DGetObj( t.mObjId )
obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-nextState)*t.mWidth-obj=
.style.posTop
t.mCurState=3DnextState
return obj
}
//-----------------------------------------
function TxtBtn( oId,oeId,action,chkState )
//-----------------------------------------
{
var t=3Dthis
t.Perform =3D _TBP
t.SetActive =3D _TBSetA
t.SetInactive=3D _TBSetI
t.SetPressed =3D _TBSetP
t.SetDisabled=3D _TBSetD
t.SetEnabled =3D _TBSetE
t.GetState =3D chkState
t.UserAction =3D action
t.ChgState =3D _TBUI
t.mObjId =3D oId
t.m_elementsId=3D oeId
t.mIsOn =3D 1
}
function _TBSetA()
{
var t=3Dthis
if( t.mIsOn && !t.GetState() )
t.ChgState( gHiliteClr,gShadowClr,0,0 )
}
function _TBSetI()
{
var t=3Dthis
if( t.mIsOn && !t.GetState() )
t.ChgState( gFaceClr,gFaceClr,0,0 )
}
function _TBSetP()
{
if( this.mIsOn )
this.ChgState( gShadowClr,gHiliteClr,1,1 )
}
function _TBSetD()
{ =20
this.ChgState( gFaceClr,gFaceClr,0,0 )
this.mIsOn =3D 0
}
function _TBSetE()
{
var t=3Dthis
if( !t.GetState() )
t.ChgState( gFaceClr,gFaceClr,0,0 )
else
t.ChgState( gShadowClr,gHiliteClr,1,1 )
t.mIsOn =3D 1
}
function _TBP()
{
var t=3Dthis
if( t.mIsOn ) {=20
if( t.UserAction !=3D null )
t.UserAction()
if( !t.GetState )
return
if( t.GetState() )
t.SetPressed()
else
t.SetActive()
} =20
}
function _TBUI( clr1,clr2,lOffset,tOffset )
{
SetBorder( GetObj( this.mObjId ),clr1,clr2 )
Offset( GetObj( this.m_elementsId ),lOffset,tOffset )
}
function Offset( obj, top, left ){ obj.style.top=3Dtop; obj.style.left=3Dle=
ft }
function SetBorder( obj, upperLeft, lowerRight )
{
s=3Dobj.style;
s.borderStyle =3D "solid"
s.borderWidth =3D 1=20
s.borderLeftColor =3D s.borderTopColor =3D upperLeft
s.borderBottomColor=3D s.borderRightColor =3D lowerRight
}
function GetBtnObj(){ return gBtnArr[window.event.srcElement.id] }
function BtnOnOver(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetActive() }
function BtnOnDown(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetPressed() }
function BtnOnOut(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetInactive() }
function BtnOnUp()
{
b=3DGetBtnObj()
if( b !=3D null )
b.Perform()
else
Upd()
}
function GetNtsState(){ return parent.gNtsOpen }
function GetOtlState(){ return parent.gOtlOpen }
function GetOtlTxtState(){ return parent.gOtlTxtExp }
function NtsBtnSetFlag( fVal )
{
s=3Ddocument.all.item( this.m_flagId ).style
s.display=3D"none"
if( fVal )
s.display=3D""
else
s.display=3D"none"
}
function _BSetA_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S=
etActive() }
function _BSetI_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S=
etInactive() }
function _BSetP_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S=
etPressed() }
function _BSetA_BorderImg()
{=20
b =3D gBtnArr[this.mBorderId]=20
if( b !=3D null && this.mIsOn && !b.GetState() ) {
obj=3Dthis.ChgState( gHiliteClr,gShadowClr,2 )
obj.style.posTop=3D0
}
}
function _BSetI_BorderImg()
{=20
b =3D gBtnArr[this.mBorderId]
if( b !=3D null && this.mIsOn && !b.GetState() ) {
obj=3Dthis.ChgState( gFaceClr,gFaceClr,1 )
obj.style.posTop=3D0
}
}
var gHiliteClr=3D"THREEDHIGHLIGHT",gShadowClr=3D"THREEDSHADOW",gFaceClr=3D"=
THREEDFACE"
var gBtnArr =3D new Array()
gBtnArr["nb_otl"] =3D new TxtBtn( "nb_otl","nb_otlElem",parent.ToggleOtlPan=
e,GetOtlState )
gBtnArr["nb_otlElem"] =3D new TxtBtn( "nb_otl","nb_otlElem",parent.ToggleOt=
lPane,GetOtlState )
gBtnArr["nb_nts"] =3D new ImgBtn( "nb_nts","nb_ntsBorder",10,parent.ToggleN=
tsPane )
gBtnArr["nb_nts"].SetActive =3D _BSetA_BorderImg;
gBtnArr["nb_nts"].SetInactive =3D _BSetI_BorderImg;
gBtnArr["nb_ntsBorder"] =3D new TxtBtn( "nb_ntsBorder","nb_ntsElem",parent.=
ToggleNtsPane,GetNtsState )
gBtnArr["nb_ntsElem"] =3D new TxtBtn( "nb_ntsBorder","nb_ntsElem",parent.To=
ggleNtsPane,GetNtsState )
gBtnArr["nb_prevBorder"] =3D gBtnArr["nb_prev"]=3D new ImgBtn( "nb_prev","n=
b_prevBorder",30,parent.GoToPrevSld )
gBtnArr["nb_nextBorder"] =3D gBtnArr["nb_next"]=3D new ImgBtn( "nb_next","n=
b_nextBorder",30,parent.GoToNextSld )
gBtnArr["nb_sldshw"]=3D new ImgBtn( "nb_sldshw","nb_sldshwBorder",18,parent=
.FullScreen )
gBtnArr["nb_sldshwBorder"] =3D new TxtBtn( "nb_sldshw","nb_sldshwBorder",pa=
rent.FullScreen,null )
gBtnArr["nb_sldshwBorder"].SetActive =3D _BSetA_Border;
gBtnArr["nb_sldshwBorder"].SetInactive =3D _BSetI_Border;
gBtnArr["nb_sldshwText"] =3D new TxtBtn( "nb_sldshw","nb_sldshwText",parent=
.FullScreen,null )
gBtnArr["nb_sldshwText"].SetActive =3D _BSetA_Border;
gBtnArr["nb_sldshwText"].SetInactive =3D _BSetI_Border;
gBtnArr["nb_voice"] =3D gBtnArr["nb_voiceBorder"] =3D new ImgBtn( "nb_voice=
","nb_voiceBorder",18,parent.ToggleVNarration )
gBtnArr["nb_otlTxtBorder"] =3D gBtnArr["nb_otlTxt"]=3D new ImgBtn( "nb_otlT=
xt","nb_otlTxtBorder",23,parent.ToggleOtlText )
gBtnArr["nb_ntsBorder"].m_flagId=3D "nb_nts"
gBtnArr["nb_ntsBorder"].SetFlag =3D NtsBtnSetFlag
gBtnArr["nb_otlTxt"].ChangeIcon=3D GetOtlTxtState
/*********************************************
Context menu implementation
_CM() is the function that's hooked up to
the oncontextmenu event. Once we're asked to
show the menu, we first build it by creating
DIVs on-the-fly. Then we position it=20
within the screen area so it doesn't get
clipped.
Creating the DIVs using createElement() means
we don't have to write out any extra HTML
into the slide HTML files.
**********************************************/
var sNext=3D"Next",sPrev=3D"Previous",sEnd=3D"End Show",sFont=3D"Arial",sAr=
row=3D"Arrow",sFreeform=3D"Freeform",sRect=3D"Rectangle",sOval=3D"Oval"
function ShowMenu()
{
BuildMenu();
var doc=3DPPTSld.document.body,x=3DPPTSld.event.clientX+doc.scrollLeft,y=
=3DPPTSld.event.clientY+doc.scrollTop
m =3D PPTSld.document.all.item("ctxtmenu")
m.style.pixelLeft=3Dx
if( (x+m.scrollWidth > doc.clientWidth)&&(x-m.scrollWidth > 0) )
m.style.pixelLeft=3Dx-m.scrollWidth
m.style.pixelTop=3Dy
if( (y+m.scrollHeight > doc.clientHeight)&&(y-m.scrollHeight > 0) )
m.style.pixelTop=3Dy-m.scrollHeight
m.style.display=3D""
}
function _CM()
{
if( !parent.IsFullScrMode() ) return;
if(!PPTSld.event.ctrlKey) {
ShowMenu()
return false
} else
HideMenu()
}
function BuildMenu()
{
if( PPTSld.document.all.item("ctxtmenu") ) return
var mObj=3DCreateItem( PPTSld.document.body )
mObj.id=3D"ctxtmenu"
mObj.style.visibility=3D"hidden"
var s=3DmObj.style
s.position=3D"absolute"
s.cursor=3D"default"
s.width=3D"120px"
SetCMBorder(mObj,"menu","black")
var iObj=3DCreateItem( mObj )
SetCMBorder( iObj, "threedhighlight","threedshadow" )
iObj.style.padding=3D2
CreateMenuItem( iObj,sNext,M_GoNextSld,M_True )
CreateMenuItem( iObj,sPrev,M_GoPrevSld,M_HasPrevSld )
=09
CreateSeparator( iObj )
CreateMenuItem( iObj,sEnd,M_End,M_True )
mObj.style.visibility=3D"visible"
}
function Cancel() { window.event.cancelBubble=3Dtrue; window.event.returnVa=
lue=3Dfalse }
function Highlight() { ChangeClr("activecaption","threedhighlight") }
function Deselect() { ChangeClr("threedface","menutext") }
function Perform()
{
e=3DPPTSld.event.srcElement
if( e.type=3D=3D"menuitem" && e.IsActive() )
e.Action()
else
PPTSld.event.cancelBubble=3Dtrue
}
function ChangeClr( bg,clr )
{
e=3DPPTSld.event.srcElement
if( e.type=3D=3D"menuitem" && e.IsActive() ) {
e.style.backgroundColor=3Dbg
e.style.color=3Dclr
}
}
function M_HasPrevSld() { return( parent.HasPrevSld() ) }
function M_GoNextSld() { if( gIsEndShow ) M_End(); else GoToNextSld() }
function M_GoPrevSld() { if( gIsEndShow ) { gIsEndShow=3D0; history.back();=
PPTSld.event.cancelBubble=3Dtrue; } else GoToPrevSld() }
function M_True() { return true }
function M_End() { window.close( self ) }
function CreateMenuItem( node,text,action,eval )
{
var e=3DCreateItem( node )
e.type=3D"menuitem"
e.Action=3Daction
e.IsActive=3Deval
e.innerHTML=3Dtext
if( !e.IsActive() )
e.style.color=3D"threedshadow"
e.onclick=3DPerform
e.onmouseover=3DHighlight
e.onmouseout=3DDeselect
s=3De.style;
s.fontFamily=3DsFont
s.fontSize=3D"9pt"
s.paddingLeft=3D2
}
function CreateSeparator( node )
{
var sObj=3DCreateItem( node )
SetCMBorder(sObj,"menu","menu")
var s=3DsObj.style
s.borderTopColor=3D"threedshadow"
s.borderBottomColor=3D"threedhighlight"
s.height=3D1
s.fontSize=3D"0px"
}
function CreateItem( node )
{
var elem=3DPPTSld.document.createElement("DIV")
node.insertBefore( elem )
return elem
}
function SetCMBorder( o,ltClr,rbClr )
{
var s=3Do.style
s.backgroundColor=3D"menu"
s.borderStyle=3D"solid"
s.borderWidth=3D1
s.borderColor=3DltClr+" "+rbClr+" "+rbClr+" "+ltClr
}
------=_NextPart_01C4383C.6E28D720
Content-Location: file:///C:/A2CBB24E/Recognition_files/fullscreen.htm
Content-Transfer-Encoding: quoted-printable
Content-Type: text/html; charset="us-ascii"
CMSC 426: Image Processing (Computer Vision)
------=_NextPart_01C4383C.6E28D720--
registered to the patient, so its “in the right place”
------=_NextPart_01C4383C.6E28D720
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