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Geometric Computer Vision: Difference between revisions
→Rectification
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# Consider the left camera to be the center of a coordinate system. | # Consider the left camera to be the center of a coordinate system. | ||
# Let <math>e_1</math> be the axis to the right camera, <math>e_2</math> to be the up axis, and take <math>e_3 = e_1 \times e_2</math>. | # Let <math>e_1</math> be the axis to the right camera, <math>e_2</math> to be the up axis, and take <math>e_3 = e_1 \times e_2</math>. | ||
===Random dot stereograms=== | |||
Shows that recognition is not needed for stereo. | |||
===Similarity Construct=== | |||
* Do matching by computing the sum of square differences (SSD) of a patch along the epipolar lines. | |||
* The ordering of pixels along an epipolar line may not be the same between left and right images. | |||
===Correspondence + Segmentation=== | |||
* Assumption: Similar pixels in a segmentation map will probably have the same disparity. | |||
# For each shift, find the connected components. | |||
# For each point p, pick the largest connected component. | |||
==Projects== | ==Projects== | ||