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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Computational Imaging and Visionhttp://image.papertrans.cn/e/image/313291.jpg

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The Commencement of Urban Habitationysiologists 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.

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Theorie und Praxis der DiskursforschungIn this chapter we present a detailed description of the epipolar geometry between two images taken by two different cameras or by a single camera at two different time instants. Since it is intimately related to camera models, we will start from modeling cameras, followed by several approximations to the full perspective projection.

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Camera Models and Epipolar Geometry,In this chapter we present a detailed description of the epipolar geometry between two images taken by two different cameras or by a single camera at two different time instants. Since it is intimately related to camera models, we will start from modeling cameras, followed by several approximations to the full perspective projection.

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Redefining Stereo, Motion and Object Recognition Via Epipolar Geometry,In this chapter, we review correspondence problems in stereo, motion, and object recognition from the epipolar geometry point of view, and the analysis shows that once the epipolar geometry is recovered, all can be redefined as a 1D correspondence search problem plus a segmentation problem which can be solved simultaneously.