Computer Vision : Detection, Recognition and Reconstruction
Overview
Is Human Vision Any Good?.- Knowing a Good Feature When You See It: Ground Truth and Methodology to Evaluate Local Features for Recognition.- Dynamic Graph Cuts and Their Applications in Computer Vision.- Discriminative Graphical Models for Context-Based Classification.- From the Subspace Methods to the Mutual Subspace Method.- What, Where and Who? Telling the Story of an Image by Activity Classification, Scene Recognition and Object Categorization.- Semantic Texton Forests.- Multi-view Object Categorization and Pose Estimation.- A Vision-Based Remote Control.- Multi-view Multi-object Detection and Tracking.- Shape from Photographs: A Multi-view Stereo Pipeline.- Practical 3D Reconstruction Based on Photometric Stereo.
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Details
- ISBN-13: 9783662505564
- ISBN-10: 3662505568
- Publisher: Springer
- Publish Date: August 2016
- Dimensions: 9.21 x 6.14 x 0.78 inches
- Shipping Weight: 1.16 pounds
- Page Count: 350
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