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» Urban Object Recognition from Informative Local Features
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WACV
2005
IEEE
14 years 1 months ago
Incorporating Background Invariance into Feature-Based Object Recognition
Current feature-based object recognition methods use information derived from local image patches. For robustness, features are engineered for invariance to various transformation...
Andrew N. Stein, Martial Hebert
ICIP
2010
IEEE
13 years 5 months ago
Explore multiple clues for urban images matching
Many well-known existing image matching methods are based on local texture analysis, and consequently have difficulty handling low-textured 3D objects, such as those man-made buil...
Quan Wang, Suya You
CVPR
2009
IEEE
15 years 1 months ago
Learning Mixed Templates for Object Recognition
This article proposes a method for learning object templates composed of local sketches and local textures, and investigates the relative importance of the sketches and textures ...
Haifeng Gong, Song Chun Zhu, Ying Nian Wu, Zhangzh...
HCI
2009
13 years 5 months ago
AR City Representation System Based on Map Recognition Using Topological Information
This paper presents a system for overlaying 3D GIS data information such as 3D buildings onto a 2D physical urban map. We propose a map recognition framework by analysis of distrib...
Hideaki Uchiyama, Hideo Saito, Myriam Servieres, G...
ICML
2005
IEEE
14 years 8 months ago
Q-learning of sequential attention for visual object recognition from informative local descriptors
This work provides a framework for learning sequential attention in real-world visual object recognition, using an architecture of three processing stages. The first stage rejects...
Lucas Paletta, Gerald Fritz, Christin Seifert