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portada seeing the objects behind the parts - learning compositional models for visual recognition
seeing the objects behind the parts - learning compositional models for visual recognitionseeing the objects behind the parts - learning compositional models for visual recognitionseeing the objects behind the parts - learning compositional models for visual recognition
Type
Physical Book
Author
Publisher
Language
English
Pages
228
Format
Paperback
Dimensions
22.9x15.2x1.2 cm
Weight
0.31 kg.
ISBN
3639021444
ISBN13
9783639021448
Categories

seeing the objects behind the parts - learning compositional models for visual recognition

Björn Ommer (Author) · VDM Verlag Dr. Mueller E.K. · Paperback

seeing the objects behind the parts - learning compositional models for visual recognition - Ommer, Björn

New Book Imported to South Africa
Delivery: 16 Oct - 29 Oct Shipping: 12 to 16 business days.
R 1,508
R 1,508

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Synopsis "seeing the objects behind the parts - learning compositional models for visual recognition"

Although the amount of visual data in the form of digital images and video is increasing at an ever-growing pace, computers are still not capable of automatically analyzing this data on a semantic level. Therefore, users have to process visual input on a low level, rather than enabling an intuitive communication with machines that is based on image content. This book deals with automatic scene understanding and, particularly, with category-level recognition of objects in novel visual scenes, be it images or videos. The research is governed by the main hypothesis that structured, hierarchical object representations can be learned in a fully automatic mode. For this purpose, statistical models are devised that can be learned for each category in an unsupervised manner. This work builds on the fundamental concept of compositionality and it investigates how the compositional nature of our (visual) world can be exploited for simplifying object models.

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