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{ "item_title" : "Computer Vision", "item_author" : [" Roberto Cipolla", "Sebastiano Battiato", "Giovanni Maria Farinella "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/66/250/556/3662505568_b.jpg", "price_data" : { "retail_price" : "219.99", "online_price" : "219.99", "our_price" : "219.99", "club_price" : "219.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Computer Vision|Roberto Cipolla

Computer Vision : Detection, Recognition and Reconstruction

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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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