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 r...
In this paper, we introduce a scale-invariant feature selection method that learns to recognize and ...
Recognition is a deep and fundamental question in computer vision. If approached correctly, object r...
Object category recognition is one of the most difficult problems in computer vision. It involves re...
This chapter presents an approach for texture and object recognition that uses scale- or affine-inva...
This chapter presents an approach for texture and object recognition that uses scale- or affine-inva...
textVisual object category recognition is one of the most challenging problems in computer vision. E...
textVisual object category recognition is one of the most challenging problems in computer vision. E...
We address various issues in learning and representation of visual object categories. A key componen...
International audienceThis paper presents a probabilistic part-based approach for texture and object...
Visual recognition is a fundamental research topic in computer vision. This dissertation explores d...
Visual Recognition Challange workshop, in conjunction with ICCVInternational audienceThis talk discu...
163 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006.This dissertation addresses t...
163 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006.This dissertation addresses t...
The recognition of categories of objects in images has become a central topic in computer vision. A...
Visual recognition is a fundamental research topic in computer vision. This dissertation explores d...
In this paper, we introduce a scale-invariant feature selection method that learns to recognize and ...
Recognition is a deep and fundamental question in computer vision. If approached correctly, object r...
Object category recognition is one of the most difficult problems in computer vision. It involves re...
This chapter presents an approach for texture and object recognition that uses scale- or affine-inva...
This chapter presents an approach for texture and object recognition that uses scale- or affine-inva...
textVisual object category recognition is one of the most challenging problems in computer vision. E...
textVisual object category recognition is one of the most challenging problems in computer vision. E...
We address various issues in learning and representation of visual object categories. A key componen...
International audienceThis paper presents a probabilistic part-based approach for texture and object...
Visual recognition is a fundamental research topic in computer vision. This dissertation explores d...
Visual Recognition Challange workshop, in conjunction with ICCVInternational audienceThis talk discu...
163 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006.This dissertation addresses t...
163 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006.This dissertation addresses t...
The recognition of categories of objects in images has become a central topic in computer vision. A...
Visual recognition is a fundamental research topic in computer vision. This dissertation explores d...
In this paper, we introduce a scale-invariant feature selection method that learns to recognize and ...
Recognition is a deep and fundamental question in computer vision. If approached correctly, object r...
Object category recognition is one of the most difficult problems in computer vision. It involves re...