2 Problem: Target Image Search A target is assumed to beScaled, Rotated Version TemplateWith Edges DistortedSearch on Images DatabaseTemplateTarget
3 Methodology: An Overview InspirationJain et al  , “Object Matching Using Deformable Templates”Our AlgorithmFinding Hypotheses : MGHTPeak Clustering :Watershed MethodContour Matching : Smooth Membrane FittingTemplateTarget ContoursHypotheses 3 Peaksin 3D Hough SpaceRejectedHypothesisAcceptedHypothesisRejectedHypothesis
4 Finding Candidate Target: Modified Generalized Hough [Nimkerdpol and Madarasmi, 2001]A line at the contour edge is extended in the g direction until it meets the other end of the contourIn MGHT, the relation between Dq (r,a,q,l) is stored as a linked list in R-Table, not as q (a,r) like in GHTr1, a1, q1, l1r2, a2, q2, l2r3, a3, q3, l3r4, a4, q4, l40...1915,180,195,999,179,219,1018,177,216,1029,176,198,10017,160,23,514,159,38,718,161,175,6215,162,195,9530…4919,165,31,5320,170,8,5222,167,15,5218,159,158,12…23,105,346,1124,103,165,1121,102,346,1822,104,195,24
6 MGHT xc = x + S r cos (a + b) yc = y + S r sin (a + b) Rotation Factor:Scaling Factor :New ref. Point :xc = x + S r cos (a + b)yc = y + S r sin (a + b)
7 Watershed for Peak Clustering 1. Shed, by labeling, at the first level, calculate peaks of each label2. Increase to higher level, shed again2.1 Meet an area of previous level, shed to that area2.2 Not meet any area of previous level, make a new area ,calculate a new peak
8 Deformation : Contour Matching Parameter : (Dx,Dy) or (u,v) range -7, -6, …,0,… 6, 7
20 Experiment on Image Querying DatabaseSearch for Circle shape
21 Experiment on Image Querying Search for bulb shapeDatabase
22 Conclusion A deformation model Contour Matching A method for image searchFuture work: large image database, efficient method for minimizing energy, coarse-and-fine approach to computer vison modules
23 Accurate 3-D surface map using stereo vision This proposal research addresses 2 issues:Find an accurate 3-D surface map using stereo visionCombine surface from different views to a single 3-D object for CAD applications.
24 Combine surface from multiple views to a single 3-D object. To combine multiple view, we need to find the rotation and transformation matrices from each camera combined to the world or reference co-ordination system.==================Rotation :Rotation :Rotation :Translation :Translation :Translation :
26 A Relaxation Method for Shape from Contours Input Contour Images:Geodesics Contours OnlyDevelopable Surface (No Folds/Twists)Non-Accidental ViewPlace Grid Points in X and Y Direction to have SmoothDraw Horizontal and Vertical Lines through Grid to Form a Regular Square TextureUse Shape from Texture to Obtained Surface Normals
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