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Introductory Techniques for 3-D Computer Vision Paperback – March 6 1998

3.8 out of 5 stars 8 ratings

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Product description

From the Back Cover

An applied introduction to modern computer vision, focusing on a set of computational techniques for 3-D imaging, this book covers a wide range of fundamental problems encountered within computer vision and provides detailed algorithmic and theoretical solutions for each. Each chapter concentrates on a specific problem and solves it by building on previous results.

FEATURES:

  • Provides a guide to well-tested theory and algorithms including solutions of problems encountered in modern computer vision.
  • Contains many practical hints highlighted in the book.
  • Develops two parallel tracks in the presentation, showing how fundamental problems are solved using both intensity and range images, the most popular types of images used today.
  • Each chapter contains notes on the literature, review questions, numerical exercises, and projects.
  • Provides an Internet list for accessing links to test images, demos, archives and additional learning material.

Customer reviews

3.8 out of 5 stars
3.8 out of 5
8 customer ratings
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Reviewed in Canada on August 25, 2001
Reviewed in Canada on May 31, 2000
Reviewed in Canada on May 26, 2001
Reviewed in Canada on April 17, 2003
Reviewed in Canada on March 7, 2001

Top international reviews

Sunu Wibirama
5.0 out of 5 stars A recommended book for entry-level researcher
Reviewed in Japan on September 17, 2012
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Esfandiar Bandari
5.0 out of 5 stars One of the best books on the topic
Reviewed in the United States on August 25, 2001
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4 people found this helpful
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2.0 out of 5 stars More of a reference book
Reviewed in the United States on August 23, 2007
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