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Natural Object Recognition
Thomas M. Strat
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Description for Natural Object Recognition
Paperback. Series: Springer Series in Perception Engineering. Num Pages: 173 pages, 42 black & white illustrations, biography. BIC Classification: UYF; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 11. Weight in Grams: 308.
Natural Object Recognition presents a totally new approach to the automation of scene understanding. Rather than attempting to construct highly specialized algorithms for recognizing physical objects, as is customary in modern computer vision research, the application and subsequent evaluation of large numbers of relatively straightforward image processing routines is used to recognize natural features such as trees, bushes, and rocks. The use of contextual information is the key to simplifying the problem to the extent that well understood algorithms give reliable results in ground-level, outdoor scenes.
Natural Object Recognition presents a totally new approach to the automation of scene understanding. Rather than attempting to construct highly specialized algorithms for recognizing physical objects, as is customary in modern computer vision research, the application and subsequent evaluation of large numbers of relatively straightforward image processing routines is used to recognize natural features such as trees, bushes, and rocks. The use of contextual information is the key to simplifying the problem to the extent that well understood algorithms give reliable results in ground-level, outdoor scenes.
Product Details
Format
Paperback
Publication date
2013
Publisher
Springer-Verlag New York Inc. United States
Number of pages
173
Condition
New
Series
Springer Series in Perception Engineering
Number of Pages
173
Place of Publication
New York, NY, United States
ISBN
9781461277255
SKU
V9781461277255
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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