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  2. Richard Hartley (scientist) - Wikipedia

    en.wikipedia.org/wiki/Richard_Hartley_(scientist)

    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.

  3. Computer vision - Wikipedia

    en.wikipedia.org/wiki/Computer_vision

    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.

  4. Image rectification - Wikipedia

    en.wikipedia.org/wiki/Image_rectification

    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 ...

  5. Chessboard detection - Wikipedia

    en.wikipedia.org/wiki/Chessboard_detection

    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 ...

  6. Correspondence problem - Wikipedia

    en.wikipedia.org/wiki/Correspondence_problem

    Correspondence is a fundamental problem in computer vision — influential computer vision researcher Takeo Kanade famously once said that the three fundamental problems of computer vision are: “Correspondence, correspondence, and correspondence!” [2] Indeed, correspondence is arguably the key building block in many related applications ...

  7. Fundamental matrix (computer vision) - Wikipedia

    en.wikipedia.org/wiki/Fundamental_matrix...

    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.

  8. Condensation algorithm - Wikipedia

    en.wikipedia.org/wiki/Condensation_algorithm

    The condensation algorithm (Conditional Density Propagation) is a computer vision algorithm. The principal application is to detect and track the contour of objects moving in a cluttered environment. Object tracking is one of the more basic and difficult aspects of computer vision and is generally a prerequisite to object recognition. Being ...

  9. Andrew Zisserman - Wikipedia

    en.wikipedia.org/wiki/Andrew_Zisserman

    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]