๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Object Recognition

โœ Scribed by Tam Phuong Cao


Tongue
English
Leaves
360
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Subject, Object, Cognition
โœ Vladislav A. Lectorsky ๐Ÿ“‚ Library ๐Ÿ“… 1984 ๐Ÿ› Progress Publishers ๐ŸŒ English

ClearScan with OCR JFAG

High-Level Vision: Object Recognition an
โœ Shimon Ullman ๐Ÿ“‚ Library ๐Ÿ“… 1996 ๐Ÿ› The MIT Press ๐ŸŒ English

In this book, Shimon Ullman focuses on the processes of high-level vision that deal with the interpretation and use of what is seen in the image. In particular, he examines two major problems. The first, object recognition and classification, involves recognizing objects despite large variations in

Object Recognition
โœ Edited by: Tam Phuong Cao ๐Ÿ“‚ Library ๐Ÿ“… 2011 ๐Ÿ› InTech ๐ŸŒ English
Natural Object Recognition
โœ Thomas M. Strat (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 1992 ๐Ÿ› Springer-Verlag New York ๐ŸŒ English

<p><B>Natural Object Recognition</B> 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 evalua

Visual Object Recognition
โœ Grauman K., Leibe B. ๐Ÿ“‚ Library ๐Ÿ“… 2011 ๐Ÿ› MC ๐ŸŒ English

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 i

Visual Object Recognition
โœ Kristen Grauman, Bastian Leibe ๐Ÿ“‚ Library ๐Ÿ“… 2011 ๐Ÿ› Springer ๐ŸŒ English

<span>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