Titlebook: Computer Vision: Three-dimensional Reconstruction Techniques; Andrea Fusiello Textbook 2024 Edizioni Franco Angeli under exclusive license

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书目名称Computer Vision: Three-dimensional Reconstruction Techniques网络公开度学科排名




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书目名称Computer Vision: Three-dimensional Reconstruction Techniques被引频次学科排名




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书目名称Computer Vision: Three-dimensional Reconstruction Techniques年度引用学科排名




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书目名称Computer Vision: Three-dimensional Reconstruction Techniques读者反馈学科排名

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Absolute and Exterior Orientation,ve computing a 3D isometry from correspondences between points, but they differ in the space (2D or 3D) where the corresponding points live. This chapter will focus on absolute orientation and exterior orientation, which is reduced to the former.

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Stereopsis: Geometry,iguration, where the homologous points lie on horizontal lines at the same height, and the correspondences can be encoded by the binocular disparity. Epipolar rectification is a process that virtually brings the cameras into the normal configuration even when they are not in reality.

CODA

Features Points,ection and blob detection. Corner detection is a simple approach that matches points based on their local intensity values. Blob detection is a more complex approach that matches points based on their local structure.

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3D Registration,. This problem is similar to image mosaicking. This chapter describes how to achieve the simultaneous alignment of many sets of 3D points, with and without correspondences. Such sets of 3D points are also called point clouds in this context.

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Multi-view Projective Reconstruction and Autocalibration,d that is specific for projective reconstruction and is based on a factorisation method. We will also address the problem of self-calibration, which is equivalent to estimating the intrinsic parameters.

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Multi-view Stereo Reconstruction,The key concept is photo-consistency: a point in the scene is considered to be photo-consistent if its radiance in all of the images is equal to the intensity of the corresponding pixels. The surface reconstruction problem then reduces to determining the photo-consistency of the points in space.

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Image-Based Rendering,more input images. The resulting synthetic images can be interpreted as being obtained from a virtual camera that differs from the real one in some way, such as having a greater field of view or a different orientation.