• Linear filtering

    Linear filtering

    Given a camera and a still scene, how can you reduce noise, what about near the edge, why is separability useful in practice,... To help you understand more about this issue, invite you to consult the lecture content "Linear filtering". Hope this is useful references for you.

     42 p vlute 16/11/2015 412 1

  • Color

    Color

    Color is a psychological property of our visual experiences when we look at objects and lights, not a physical property of those objects or lights, color is the result of interaction between physical light in the environment and our visual system. To help you understand more about this issue, invite you to consult the lecture content "Color". Hope this is useful references for you.

     57 p vlute 16/11/2015 347 1

  • Edge detection

    Edge detection

    Origin of edges, characterizing edges, image gradient, finite difference filters, effects of noise,... As the main contents of the lecture "Edge detection". Each of your content and references for additional lectures will serve the needs of learning and research.

     30 p vlute 16/11/2015 455 1

  • Image alignment

    Image alignment

    Invite you to consult the lecture content "Image alignment" below. Contents of lectures introduce to you the content: A look into the past, bing streetside images, image alignment, alignment as fitting, fitting an affine transformation. Hopefully document content to meet the needs of learning, work effectively.

     61 p vlute 16/11/2015 348 1

  • Fitting: The hough transform

    Fitting: The hough transform

    Voting schemes, hough transform, parameter space representation, algorithm outline, basic illustration,... As the main contents of the lecture "Fitting: The hough transform". Each of your content and references for additional lectures will serve the needs of learning and research.

     46 p vlute 16/11/2015 348 1

  • Discriminative and generative methods for bags of features

    Discriminative and generative methods for bags of features

    Invite you to consult the lecture content "Discriminative and generative methods for bags of features" below. Contents of lectures introduce to you the content: Image classification, discriminative methods, nearest neighbor classifier, classification, support vector machines. Hopefully document content to meet the needs of learning, work effectively.

     22 p vlute 16/11/2015 308 1

  • Single-view geometry

    Single-view geometry

    Our goal recovery of 3D structure, recall pinhole camera model, recovery of 3D structure, pinhole camera model, principal point,... is the main content of the lesson "Single-viewgeometry". Each of your content and references for additional lectures will serve the needs of learning and research.

     27 p vlute 16/11/2015 316 1

  • Statistical recognition

    Statistical recognition

    Invite you to consult the lecture content "Statistical recognition" below. Contents of lectures introduce to you the content: Discriminative methods, generative methods, steps for statistical recognition, labeling with games,... Hopefully document content to meet the needs of learning, work effectively.

     25 p vlute 16/11/2015 302 1

  • Two-view geometry

    Two-view geometry

    Invite you to consult the lecture content "Two-view geometry" below. Contents of lectures introduce to you the content: Epipolar geometry, the epipole, epipolar geometry, epipolar constraint, problem with eight point algorithm. Hopefully document content to meet the needs of learning, work effectively.

     24 p vlute 16/11/2015 295 1

  • Structure from motion

    Structure from motion

    Invite you to consult the lecture content "Structure from motion" below. Contents of lectures introduce to you the content: Structure from motion, structure from motion ambiguity, types of ambiguity,... Hopefully document content to meet the needs of learning, work effectively.

     41 p vlute 16/11/2015 427 1

  • Multi-view stereo

    Multi-view stereo

    To help you specialized Electronics Electronics has added references in the process of learning and study. Invite you to consult the lecture content "Multi-view stereo". Each of your content and references for additional lectures will serve the needs of learning and research.

     34 p vlute 16/11/2015 434 1

  • Stereo

    Stereo

    Binocular stereo, basic stereo matching algorithm, essential matrix for parallel images, depth from disparity, depth from disparity, stereo matching as energy minimization,... As the main contents of the lecture "Stereo". Each of your content and references for additional lectures will serve the needs of learning and research.

     43 p vlute 16/11/2015 469 1

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