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» A Layered Approach to People Detection in 3D Range Data
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CVPR
2011
IEEE
12 years 9 months ago
Learning People Detection Models from Few Training Samples
People detection is an important task for a wide range of applications in computer vision. State-of-the-art methods learn appearance based models requiring tedious collection and ...
Leonid Pishchulin, Christian Wojek, Arjun Jain, Th...
WSCG
2004
137views more  WSCG 2004»
13 years 6 months ago
Robust Range Image Registration using a Common Plane
This paper presents a method for the registration of range image pairs that were captured from different locations. The proposed approach assumes that a common 3D plane is least v...
Joachim Bauer, Konrad F. Karner, Andreas Klaus, Ro...
IROS
2009
IEEE
151views Robotics» more  IROS 2009»
13 years 12 months ago
Simultaneous people tracking and localization for social robots using external laser range finders
—Robust localization of robots and reliable tracking of people are both critical requirements for the deployment of service robots in real-world environments. In crowded public s...
Dylan F. Glas, Takayuki Kanda, Hiroshi Ishiguro, N...
WACV
2005
IEEE
13 years 10 months ago
A Fast Multi-Modal Approach to Facial Feature Detection
As interest in 3D face recognition increases the importance of the initial alignment problem does as well. In this paper we present a method utilizing the registered 2D color and ...
Chris Boehnen, Trina Russ
CVPR
2006
IEEE
14 years 7 months ago
Object Pose Detection in Range Scan Data
We address the problem of detecting complex articulated objects and their pose in 3D range scan data. This task is very difficult when the orientation of the object is unknown, an...
Jim Rodgers, Dragomir Anguelov, Hoi-Cheung Pang, D...