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Disparity Estimation Using Color Segmentation

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thomaswangxin

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Disparity Estimation using a Color Segmentation Xin Wang Barcelona, 3rd Sep. 2009
Outline for the presentation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Task and Problem Identification ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Task and Problem Identification ,[object Object],[object Object],[object Object],[object Object]
Task and Problem Identification ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],L (ori) R (ori) Disparity (Left) Disparity (Right)
Task and Problem Identification ,[object Object],[object Object]
Outline for the presentation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Algorithmic Overview ,[object Object],Initial Disparity Estimation Color Segmentation to extract the label Polynomial Model based Disparity Representation in Each Color Segment (use label information) Disparity Improvement By Region Merging Iterations Final Disparity Map
Outline for the presentation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Initial Disparity Estimation ,[object Object],[object Object],[object Object],[object Object],[object Object]
Outline for the presentation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Segmentation-based Approach ,[object Object],[object Object],[object Object],[object Object],[object Object]
Segmentation-based Approach ,[object Object],[object Object],[object Object],[object Object],(planar parallel to the camera front plane) (planar model) (parabolic curved surface)
Segmentation-based Approach ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Segmentation-based Approach ,[object Object],[object Object],[object Object],[object Object]
Segmentation-based Approach ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Segmentation-based Approach ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Segmentation-based Approach ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],(Teddy 559 regions, Cones 553 regions, Venus 398 regions)
Outline for the presentation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Disparity Refinement via Merging ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Disparity Refinement via Merging ,[object Object]
Disparity Refinement via Merging ,[object Object],[object Object],[object Object],[object Object],(Euclidean Distance Based)
Disparity Refinement via Merging ,[object Object],[object Object],[object Object],[object Object]
Outline for the presentation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Experiment Results ,[object Object],[object Object],[object Object],Parameters : Teddy (559 regions) , Cones (553 regions), Venus (398 regions) RANSAC iterations:200, inlier threshold:0.99 , distance threshold:0.5
Experiment Results ,[object Object],Program runs on a 3GHz processor
Experiment Results ,[object Object],Red: Order 0, Green: Order 1, Blue: Order 2, Black: No improvement
Experiment Results ,[object Object],Teddy (559 regions) , Cones (553 regions), Venus (398 regions)
Experiment Results ,[object Object]
Experiment Results ,[object Object],Reconstruction using initial Disparity Reconstruction using merged disparity, 160 rounds
Conclusions and Future Work ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Acknowledgement ,[object Object],[object Object],[object Object],[object Object]
Questions ,[object Object],[object Object]
Experiment Results ,[object Object],A, improvement point B, how label changes C, disparity refinement
Experiment Results ,[object Object]
Experiment Results ,[object Object],[object Object]
Experiment Results ,[object Object]
Disparity & Depth ,[object Object]
Experiment Results ,[object Object],[object Object],[object Object],Teddy Image Cones Image Venus Image
Matching Score ,[object Object],[object Object]

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Disparity Estimation Using Color Segmentation

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