PittsburghV1, France, Analysis, bibRecord, 000770

Towards category-level object recognition

Identifieur interne : 000770 ( France/Analysis ); précédent : 000769; suivant : 000771

Towards category-level object recognition

Auteurs : Jean Ponce [France] ; Martial Hebert [États-Unis] ; Cordelia Schmid [France] ; Andrew Zisserman [Royaume-Uni]

Source :

RBID : Hal:inria-00548614

English descriptors

mix :
- 3D objects, classification, cognitive computer vision, cognitive systems, computational attention, computer vision, computer vision systems, face detection, feature extraction, image processing, machine learning, object detection, object recognition, object segmentation, object tracking, sequential learning, statistical learning, statistical models, video sequence analysis, vision systems architecture, vision systems design.

Abstract

This book is the outcome of two workshops that brought together about 40 prominent vision and machine learning researchers interested in the fundamental and applicative aspects of object recognition, as well as representatives of industry. The main goals of these two workshops were (1) to promote the creation of an international object recognition community, with common datasets and evaluation procedures, (2) to map the state of the art and identify the main open problems and opportunities for synergistic research, and (3) to articulate the industrial and societal needs and opportunities for object recognition research worldwide. These goals are reflected in a relatively small number of papers that illustrate the breadth of today's object recognition research and the arsenal of techniques at its disposal, and discuss current achievements and outstanding challenges. Most of the chapters are descriptions of technical approaches, intended to capture the current state of the art. Some of the chapters are of a tutorial nature. They cover fundamental building blocks for object recognition techniques.

Url:

https://hal.inria.fr/inria-00548614

DOI: 10.1007/11957959

Affiliations:

Links toward previous steps (curation, corpus...)

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to stream France, to step Extraction: 000770

Links to Exploration step

Hal:inria-00548614

Le document en format XML

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<front><div type="abstract" xml:lang="en">This book is the outcome of two workshops that brought together about 40 prominent vision and machine learning researchers interested in the fundamental and applicative aspects of object recognition, as well as representatives of industry. The main goals of these two workshops were (1) to promote the creation of an international object recognition community, with common datasets and evaluation procedures, (2) to map the state of the art and identify the main open problems and opportunities for synergistic research, and (3) to articulate the industrial and societal needs and opportunities for object recognition research worldwide. These goals are reflected in a relatively small number of papers that illustrate the breadth of today's object recognition research and the arsenal of techniques at its disposal, and discuss current achievements and outstanding challenges. Most of the chapters are descriptions of technical approaches, intended to capture the current state of the art. Some of the chapters are of a tutorial nature. They cover fundamental building blocks for object recognition techniques.</div>
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	Serveur d'exploration sur Pittsburgh
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Serveur d'exploration sur Pittsburgh

Towards category-level object recognition

Towards category-level object recognition

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