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lecture8 - EECS 442 Computer vision Volumetric stereo...

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EECS 442 – Computer vision Volumetric stereo Definition Shape from Contours Shape from Shadows Voxel coloring Today’s lecture is a special topic
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“Traditional” Stereo Goal: estimate the position of P given the observation of P from two view points Assumptions : known camera parameters and position (K, R, T) p’ P p O 1 O 2
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Subgoals: 1. Solve the correspondence problem 2. Use corresponding observations to triangulate p’ P p O 1 O 2 “Traditional” Stereo
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Volumetric stereo 1. Hypothesis: pick up a point within the volume O 1 O 2 Scene volume 2. Project this point into 2 (or more) images Assumptions : known camera parameters and position (K, R, T) 3. Validation: are the observations consistent?
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Consistency based on cues such as: - Contours/silhouettes - Shadows - Colors
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Contours are a rich source of geometric information
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Apparent contour Image Camera DEFINITION: projection of the locus of points on the surface which separate the visible and occluded parts on the surface apparent contour projection of the locus of points on the surface which separate the visible projection of the [sato & cipolla]
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