Visual Object Recognition is popular PDF and ePub book, written by Kristen Grauman in 2011, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Visual Object Recognition can be Read Online from any device for your convenience.
Visual Object Recognition Book PDF Summary
The visual recognition problem is central to computer vision research. From robotics to information retrieval, many desired applications demand the ability to identify and localize categories, places, and objects. This tutorial overviews computer vision algorithms for visual object recognition and image classification. We introduce primary representations and learning approaches, with an emphasis on recent advances in the field. The target audience consists of researchers or students working in AI, robotics, or vision who would like to understand what methods and representations are available for these problems. This lecture summarizes what is and isn't possible to do reliably today, and overviews key concepts that could be employed in systems requiring visual categorization. Table of Contents: Introduction / Overview: Recognition of Specific Objects / Local Features: Detection and Description / Matching Local Features / Geometric Verification of Matched Features / Example Systems: Specific-Object Recognition / Overview: Recognition of Generic Object Categories / Representations for Object Categories / Generic Object Detection: Finding and Scoring Candidates / Learning Generic Object Category Models / Example Systems: Generic Object Recognition / Other Considerations and Current Challenges / Conclusions
Detail Book of Visual Object Recognition PDF
- Author : Kristen Grauman
- Release : 01 October 2024
- Publisher : Morgan & Claypool Publishers
- ISBN : 9781598299687
- Genre : Computers
- Total Page : 184 pages
- Language : English
- PDF File Size : 14,7 Mb
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