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CVPR
2004
IEEE
14 years 9 months ago
Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting
We assess the applicability of several popular learning methods for the problem of recognizing generic visual categories with invariance to pose, lighting, and surrounding clutter...
Fu Jie Huang, Léon Bottou, Yann LeCun
CVIU
2008
296views more  CVIU 2008»
13 years 7 months ago
Image segmentation evaluation: A survey of unsupervised methods
Image segmentation is an important processing step in many image, video and computer vision applications. Extensive research has been done in creating many different approaches an...
Hui Zhang, Jason E. Fritts, Sally A. Goldman
PAMI
2008
220views more  PAMI 2008»
13 years 7 months ago
Pedestrian Detection via Classification on Riemannian Manifolds
Detecting different categories of objects in image and video content is one of the fundamental tasks in computer vision research. The success of many applications such as visual s...
Oncel Tuzel, Fatih Porikli, Peter Meer
3DPVT
2006
IEEE
169views Visualization» more  3DPVT 2006»
14 years 1 months ago
Angle Independent Bundle Adjustment Refinement
Obtaining a digital model of a real-world 3D scene is a challenging task pursued by computer vision and computer graphics. Given an initial approximate 3D model, a popular refinem...
Jeffrey Zhang, Daniel G. Aliaga, Mireille Boutin, ...
ICRA
2006
IEEE
124views Robotics» more  ICRA 2006»
14 years 1 months ago
Stereo based Obstacle Detection for an Unmanned Air Vehicle
— This paper presents the Visual Threat Awareness (VISTA) system for real time collision obstacle detection for an unmanned air vehicle (UAV). Computational stereo performance ha...
Jeffrey Byrne, Martin Cosgrove, Raman K. Mehra