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» Object recognition using graph spectral invariants
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CAIP
2009
Springer
185views Image Analysis» more  CAIP 2009»
14 years 3 months ago
Coarse-to-Fine Tracking of Articulated Objects Using a Hierarchical Spring System
Abstract. Tracking of articulated objects is a challenging task in Computer Vision. A highly target specific model can improve the robustness of the tracking by eliminating or red...
Nicole M. Artner, Adrian Ion, Walter G. Kropatsch
CRV
2011
IEEE
337views Robotics» more  CRV 2011»
12 years 8 months ago
Object Detection Using Principal Contour Fragments
Abstract—Contour features play an important role in object recognition. Psychological experiments have shown that maximum-curvature points are most distinctive along a contour [6...
Changhai Xu, Benjamin Kuipers
ICCV
2011
IEEE
12 years 18 days ago
Action Recognition in Videos Acquired by a Moving Camera Using Motion Decomposition of Lagrangian Particle Trajectories
Recognition of human actions in a video acquired by a moving camera typically requires standard preprocessing steps such as motion compensation, moving object detection and object ...
Shandong Wu, Omar Oreifej, and Mubarak Shah
ECCV
2010
Springer
13 years 10 months ago
Image Invariants for Smooth Reflective Surfaces
Image invariants are those properties of the images of an object that remain unchanged with change in camera parameters, illumination etc. In this paper, we derive an image invari...
ICCV
2009
IEEE
15 years 2 months ago
Detecting Interpretable and Accurate Scale-Invariant keypoints
This paper presents a novel method for detecting scale invariant keypoints. It fills a gap in the set of available methods, as it proposes a scale-selection mechanism for juncti...
Wolfgang F¨orstner, Timo Dickscheid, Falko Schind...