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

偶像

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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脫離

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.

終端

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.

殺人

Trabeculoplasty

Correcting errors in the time domainThis chapter introduces a geometric model of the camera. This model describes how the position of a point in the scene is related to the position of its projection in the image. We make the simplifying assumption that lenses can be neglected, so that the model is a pinhole camera.

Subjugate

Manipulating elements with hardwareThis chapter discusses how to calibrate a camera using the direct linear transform (DLT) algorithm. The DLT algorithm estimates the principal point matrix (PPM) from the image projections of 3D points of known coordinates. The PPM can then be used to derive the intrinsic and extrinsic parameters of the camera.

繁忙

Asperity

Aromatic