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Richard I. Hartley FAA is an Australian computer scientist and an Emeritus professor at the Australian National University, where he is a member of the Computer Vision group in the Research School of Computing.
Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding from digital images or videos.From the perspective of engineering, it seeks to automate tasks that the human visual system can do.
Computer stereo vision takes two or more images with known relative camera positions that show an object from different viewpoints. For each pixel it then determines the corresponding scene point's depth (i.e. distance from the camera) by first finding matching pixels (i.e. pixels showing the same scene point) in the other image(s) and then ...
Image registration has applications in remote sensing (cartography updating), and computer vision. Due to the vast range of applications to which image registration can be applied, it is impossible to develop a general method that is optimized for all uses.
The Caltech 101 data set was used to train and test several computer vision recognition and classification algorithms. The first paper to use Caltech 101 was an incremental Bayesian approach to one-shot learning, [ 4 ] an attempt to classify an object using only a few examples, by building on prior knowledge of other classes.
The Harris corner detector is a standard algorithm for corner detection in computer vision. [6] The algorithm works by analyzing the eigenvalues of the 2D discrete structure tensor matrix at each image pixel and flagging a pixel as a corner when the eigenvalues of its structure tensor are sufficiently large. Intuitively, the eigenvalues of the ...
In computer vision, the fundamental matrix is a 3×3 matrix which relates corresponding points in stereo images.In epipolar geometry, with homogeneous image coordinates, x and x′, of corresponding points in a stereo image pair, Fx describes a line (an epipolar line) on which the corresponding point x′ on the other image must lie.
International Workshop on Vision Algorithms (1999 : Corfu, Greece) Vision algorithms : theory and practice : International Workshop on Vision Algorithms, Corfu, Greece, 21–22 September 1999 : proceedings. With Bill Triggs and Richard Szeliski (eds.). 2000. Multiple view geometry in computer vision. With Richard Hartley. Second edition 2009. [11]