Titlebook: Epipolar Geometry in Stereo, Motion and Object Recognition; A Unified Approach Gang Xu,Zhengyou Zhang Book 1996 Springer Science+Business M

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Introduction,ysiologists and psychophysicists have been investigating brain at different but complementary levels for many years. Since vision is the most “visible” part of the brain, it is also the most intensively studied part of the brain.

STENT

Recovery of Epipolar Geometry from Points, (i.e. their intrinsic parameters are known), the problem is equivalent to determining motion and structure. This has been widely studied in the last fifteen years. The minimum number of required point matches is five, which may give at most ten real solutions [39]. If more than 5 point matches are

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Recovery of Epipolar Geometry from Line Segments or Straight Lines,re used, two perspective views are sufficient to recover the motion and structure of the scene, as was described in the last chapter. When straight lines are used, three perspective views are necessary. Closed-form solutions are available either for point correspondences [90, 162] (and see the last

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Image Matching and Uncalibrated Stereo,last 15 years, but the results are, however, not satisfactory. The only geometric constraint we know between two images of a single scene is the .. However, when the motion between the two images is unknown, the epipolar geometry is also unknown. The methods reported in the literature all exploit so

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Multiple Rigid Motions: Correspondence and Segmentation, structure-from-motion [164]. Actually, however, there is another problem, that is, segmentation of motion images into different rigid objects. Segmentation is very important itself, because in many real world tasks like target following segmentation is a precondition, perhaps more frequently requir