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CVPR
2003
IEEE
14 years 9 months ago
Recognizing Objects in Adversarial Clutter: Breaking a Visual CAPTCHA
In this paper we explore object recognition in clutter. We test our object recognition techniques on Gimpy and EZGimpy, examples of visual CAPTCHAs. A CAPTCHA ("Completely Au...
Greg Mori, Jitendra Malik
ICIP
2008
IEEE
14 years 9 months ago
Feature-based object modelling for visual surveillance
This paper introduces a new feature-based technique for implicitly modelling objects in visual surveillance. Previous work has generally employed background subtraction and other ...
Gary Baugh, Anil C. Kokaram
DAGM
2006
Springer
13 years 11 months ago
Properties of Patch Based Approaches for the Recognition of Visual Object Classes
Abstract. Patch based approaches have recently shown promising results for the recognition of visual object classes. This paper investigates the role of different properties of pat...
Alexandra Teynor, Esa Rahtu, Lokesh Setia, Hans Bu...
CVPR
2005
IEEE
14 years 9 months ago
Hierarchical Part-Based Visual Object Categorization
We propose a generative model that codes the geometry and appearance of generic visual object categories as a loose hierarchy of parts, with probabilistic spatial relations linkin...
Guillaume Bouchard, Bill Triggs
ICPR
2008
IEEE
14 years 2 months ago
Learning visual dictionaries and decision lists for object recognition
Visual dictionaries are widely employed in object recognition to map unordered bags of local region descriptors into feature vectors for image classification. Most visual dictiona...
Wei Zhang, Thomas G. Dietterich