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» The McGill Object Detection Suite
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CRV
2006
IEEE
99views Robotics» more  CRV 2006»
13 years 10 months ago
The McGill Object Detection Suite
Evaluation of object detection systems requires a set of test images with objects in heterogeneous scenes. Unfortunately, existing publicly available object databases provide few,...
Donovan H. Parks, Martin D. Levine
CVPR
2012
IEEE
11 years 7 months ago
Are we ready for autonomous driving? The KITTI vision benchmark suite
Today, visual recognition systems are still rarely employed in robotics applications. Perhaps one of the main reasons for this is the lack of demanding benchmarks that mimic such ...
Andreas Geiger, Philip Lenz, Raquel Urtasun
GECCO
2004
Springer
147views Optimization» more  GECCO 2004»
13 years 10 months ago
Cooperative Coevolution Fusion for Moving Object Detection
In this paper we introduce a novel sensor fusion algorithm based on the cooperative coevolutionary paradigm. We develop a multisensor robust moving object detection system that can...
Sohail Nadimi, Bir Bhanu
SSIAI
2002
IEEE
13 years 9 months ago
Geometry-Based Automatic Object Localization and 3-D Pose Detection
Given the image of a real-world scene and a polygonal 3-D model of a depicted object, its apparent size, image coordinates, and 3-D orientation are autonomously detected. Based on...
Marcus A. Magnor
ICCS
2005
Springer
13 years 10 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