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{ "item_title" : "Graph-Based Methods in Computer Vision", "item_author" : [" Jian Cheng", "Edwin Hancock", "Xiao Bai "], "item_description" : "Computer vision, the science and technology of machines that see, has been a rapidly developing research area since the mid-1970s. It focuses on the understanding of digital input images in many forms, including video and 3-D range data. Graph-Based Methods in Computer Vision: Developments and Applications presents a sampling of the research issues related to applying graph-based methods in computer vision. These methods have been under-utilized in the past, but use must now be increased because of their ability to naturally and effectively represent image models and data. This publication explores current activity and future applications of this fascinating and ground-breaking topic.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/46/661/891/1466618914_b.jpg", "price_data" : { "retail_price" : "195.00", "online_price" : "195.00", "our_price" : "195.00", "club_price" : "195.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Graph-Based Methods in Computer Vision|Jian Cheng

Graph-Based Methods in Computer Vision : Developments and Applications

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Overview

Computer vision, the science and technology of machines that see, has been a rapidly developing research area since the mid-1970s. It focuses on the understanding of digital input images in many forms, including video and 3-D range data. Graph-Based Methods in Computer Vision: Developments and Applications presents a sampling of the research issues related to applying graph-based methods in computer vision. These methods have been under-utilized in the past, but use must now be increased because of their ability to naturally and effectively represent image models and data. This publication explores current activity and future applications of this fascinating and ground-breaking topic.

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Details

  • ISBN-13: 9781466618916
  • ISBN-10: 1466618914
  • Publisher: Information Science Reference
  • Publish Date: July 2012
  • Dimensions: 11 x 8.5 x 0.88 inches
  • Shipping Weight: 2.64 pounds
  • Page Count: 396

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