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» A Boundary-Fragment-Model for Object Detection
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ECCV
2006
Springer
16 years 8 months ago
Located Hidden Random Fields: Learning Discriminative Parts for Object Detection
This paper introduces the Located Hidden Random Field (LHRF), a conditional model for simultaneous part-based detection and segmentation of objects of a given class. Given a traini...
Ashish Kapoor, John M. Winn
CVPR
2010
IEEE
16 years 20 days ago
Dominant Orientation Templates for Real-Time Detection of Texture-Less Objects
We present a method for real-time 3D object detection that does not require a time consuming training stage, and can handle untextured objects. At its core, is a novel tem- plat...
Stefan Hinterstoisser, Vincent Lepetit, Slobodan I...
SECON
2008
IEEE
16 years 25 days ago
Analytical Study of Collaborative Information Coverage for Object Detection in Sensor Networks
—Many sensor networks are deployed for the purpose of covering and monitoring a particular region, and detecting the object of interest in the region. In this paper, based on the...
Guanqun Yang, Vinod Shukla, Daji Qiao
ICCS
2005
Springer
15 years 12 months ago
An Adaptive Collision Detection and Resolution for Deformable Objects Using Spherical Implicit Surface
A fast collision detection and resolution scheme is one of the key components for interactive simulation of deformable objects. It is particularly challenging to reduce the computa...
Sunhwa Jung, Min Hong, Min-Hyung Choi
EVOW
2003
Springer
15 years 11 months ago
Pixel Statistics and False Alarm Area in Genetic Programming for Object Detection
This paper describes a domain independent approach to the use of genetic programming for object detection problems. Rather than using raw pixels or high level domain specific feat...
Mengjie Zhang, Peter Andreae, Mark Pritchard