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DEXA
2006
Springer
116views Database» more  DEXA 2006»
13 years 10 months ago
Interpolating and Using Most Likely Trajectories in Moving-Objects Databases
In recent years, many emerging database applications deal with large sets of continuously moving data objects. Since no computer system can commit continuously occurring infinitesi...
Byunggu Yu, Seon Ho Kim
CVPR
2007
IEEE
14 years 10 months ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter
CVPR
2011
IEEE
13 years 4 months ago
Tracking 3D Human Pose with Large Root Node Uncertainty
Representing articulated objects as a graphical model has gained much popularity in recent years, often the root node of the graph describes the global position and orientation of...
Ben Daubney, Xianghua Xie

Publication
323views
14 years 4 months ago
Estimation of Location Uncertainty for Scale Invariant Feature Points
Image feature points are the basis for numerous computer vision tasks, such as pose estimation or object detection. State of the art algorithms detect features that are invariant t...
Bernhard Zeisl, Pierre Fite Georgel, Florian Schwe...
ICCV
1995
IEEE
14 years 8 days ago
Recognition Using Region Correspondences
Recognition systems attempt to recover information about the identity of observed objects and their location in the environment. A fundamental problem in recognition is pose estima...
Ronen Basri, David W. Jacobs