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"item_title" : "Foundations of Computer Vision",
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"item_description" : "Basics Leading to Machine Vision.- Working with Pixels.- Visualising Pixel Intensity Distributions.- Linear Filtering.- Edges, Lines, Corners, Gaussian kernel and VoronoMeshes.- Delaunay Mesh Segmentation.- Video Processing. An Introduction to Real-Time and Offline Video Analysis.- Lowe Keypoints, Maximal Nucleus Clusters, Contours and Shapes.- Postscript. Where Do Shapes fit into the Computer Vision Landscape?.",
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Foundations of Computer Vision : Computational Geometry, Visual Image Structures and Object Shape Detection
Overview
Basics Leading to Machine Vision.- Working with Pixels.- Visualising Pixel Intensity Distributions.- Linear Filtering.- Edges, Lines, Corners, Gaussian kernel and Vorono Meshes.- Delaunay Mesh Segmentation.- Video Processing. An Introduction to Real-Time and Offline Video Analysis.- Lowe Keypoints, Maximal Nucleus Clusters, Contours and Shapes.- Postscript. Where Do Shapes fit into the Computer Vision Landscape?.
This item is Non-Returnable
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Details
- ISBN-13: 9783319524818
- ISBN-10: 331952481X
- Publisher: Springer
- Publish Date: March 2017
- Dimensions: 9.21 x 6.14 x 1 inches
- Shipping Weight: 1.78 pounds
- Page Count: 431
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