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ICCV
2003
IEEE
15 years 12 months ago
Tracking Articulated Body by Dynamic Markov Network
A new method for visual tracking of articulated objects is presented. Analyzing articulated motion is challenging because the dimensionality increase potentially demands tremendou...
Ying Wu, Gang Hua, Ting Yu
VMV
2004
167views Visualization» more  VMV 2004»
14 years 11 months ago
GPU-PIV
Digital Particle Image Velocimetry (PIV) is an optical technique used to measure the velocity of seeded particles in real flow. A CCD camera captures the flow field twice under ex...
Thomas Schiwietz, Rüdiger Westermann
VR
2008
IEEE
110views Virtual Reality» more  VR 2008»
15 years 4 months ago
Transparent Cockpit: Visual Assistance System for Vehicle Using Retro-reflective Projection Technology
Camera / Camera For safety and operability of drivers while operating a vehicle, it is very important to obtain a wide field of vision. However, the space available for setting up...
Takumi Yoshida, Kensei Jo, Kouta Minamizawa, Hidea...
IROS
2006
IEEE
183views Robotics» more  IROS 2006»
15 years 4 months ago
An Embedded Optical Flow Processor for Visual Navigation using Optical Correlator Technology
– The conceptual design of an embedded high performance opto-electronic optical flow processor is presented, which is designed for navigation applications in the field of robotic...
Valerij Tchernykh, Martin Beck, Klaus Janschek
ICRA
2002
IEEE
132views Robotics» more  ICRA 2002»
15 years 2 months ago
Visually Built Task Models for Robot Teams in Unstructured Environments
In field environments it is not usually possible to provide robotic systems with valid geometric models of the task and environment. The robot or robot teams will need to create t...
Vivek A. Sujan, Steven Dubowsky