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Recovering 3D human body configurations using shape contexts

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Mori and Malik Presented by Joseph Vainshtein

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Recovering 3D human body configurations using shape contexts Greg Mori & Jitendra Malik Presented by Joseph Vainshtein Winter 2007
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Motivation ,[object Object],[object Object]
Motivation – continued ,[object Object],[object Object],[object Object]
Goals ,[object Object],[object Object],[object Object],[object Object]
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Framework ,[object Object],[object Object]
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The basic estimation algorithm - intuition ,[object Object],[object Object],Query image Database image
The basic estimation algorithm ,[object Object],[object Object],[object Object],[object Object]
The basic estimation algorithm ,[object Object],[object Object],[object Object],[object Object]
The shape context ,[object Object],[object Object],[object Object]
Shape context (simple version) ,[object Object],Count = 4 Count = 10 Count the number of points in each histogram bin: ,[object Object]
Generalized shape context ,[object Object],[object Object],[object Object],[object Object]
The matching ,[object Object],[object Object],[object Object],[object Object]
The bipartite matching ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Points sampled from exemplar Points sampled from query image
[object Object],[object Object],[object Object],[object Object],The deformable matching ,[object Object]
The deformable matching – cont’d ,[object Object],[object Object],[object Object],[object Object],[object Object]
The deformation model – cont’d ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],The deformation model – cont’d
The deformation model – cont’d ,[object Object],[object Object],[object Object],[object Object]
The deformation model – cont’d ,[object Object],[object Object],[object Object]
A matching and deformation example Query image points Exemplar points ,[object Object]
A matching and deformation example Iteration 1 Iteration 3 Iteration 2 matching deformation ,[object Object]
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Scaling to large exemplar databases ,[object Object],[object Object],[object Object],[object Object],[object Object]
Scaling to large exemplar databases ,[object Object],[object Object],[object Object],[object Object]
The pruning algorithm ,[object Object],[object Object],[object Object],[object Object]
The pruning algorithm – cont’d ,[object Object],[object Object],[object Object]
The pruning algorithm – cont’d ,[object Object],[object Object],[object Object]
The pruning algorithm – cont’d ,[object Object],[object Object]
Selecting shortlist – example Query image Top 10 candidates ,[object Object]
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Matching part exemplars - motivation ,[object Object],[object Object],[object Object]
Matching part exemplars - intuition ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example of matching part exemplars ,[object Object]
Matching part exemplars – cont’d ,[object Object],[object Object],[object Object],[object Object],Points sampled from i th exemplar Points sampled from query image
Matching part exemplars – cont’d ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Matching part exemplars: consistency score ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Matching part exemplars: consistency score – cont’d ,[object Object],[object Object],[object Object]
Matching part exemplars: consistency score – cont’d ,[object Object],[object Object],[object Object],[object Object]
Matching part exemplars ,[object Object],[object Object],[object Object],Individual limb “fit score” Sum of consistency scores on all links
Example of matching part exemplars ,[object Object]
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Estimating 3D configuration ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],We have obtained them in the algorithm from previous sections These are simply proportion of human body parts
Estimating 3D configuration – cont’d ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Results of creating 3D model ,[object Object]
Results of creating 3D model ,[object Object]
Questions ,[object Object],? ,[object Object]
Bibliography & credits ,[object Object],[object Object],[object Object],[object Object]

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Recovering 3D human body configurations using shape contexts

  • 1. Recovering 3D human body configurations using shape contexts Greg Mori & Jitendra Malik Presented by Joseph Vainshtein Winter 2007
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