Computer Vision

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The book covers the fundamental computer vision techniques such as template matching histogram transformations, background subtraction, filtering and reflectance models, edge detection, stereo vision triangulation, optical flow, boundary detection, region growing, texture, motion, representation of 2D and 3D shapes, matching, inference, etc

Dana H. Ballard, Christopher M. Brown

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Computer Vision |

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» Machine Vision Automated Visual Inspection and Robot Vision

» Multiple Instance Metric Learning from Automatically Labeled Bags of Faces

» A Dual Theory of Inverse and Forward Light Transport

» Spatiallysensitive affineinvariant image descriptors

» Dense Point Trajectories by GPUaccelerated Large Displacement Optical Flow

» Monocular 3D Scene Modeling and Inference Understanding MultiObject Traffic Scenes

» Object Recognition using Junctions

» Extracting Structures in Image Collections for Object Recognition

» Correlationbased intrinsic image extraction from a single image

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Added	12 Jan 2009
Updated	12 Jan 2009
Authors	Dana H. Ballard, Christopher M. Brown

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