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CVPR
2007
IEEE
14 years 11 months ago
Removal of Image Artifacts Due to Sensor Dust
Image artifacts that result from sensor dust are a common but annoying problem for many photographers. To reduce the appearance of dust in an image, we first formulate a model of ...
Changyin Zhou, Stephen Lin
LREC
2010
164views Education» more  LREC 2010»
13 years 10 months ago
The POETICON Corpus: Capturing Language Use and Sensorimotor Experience in Everyday Interaction
Natural language use, acquisition, and understanding takes place usually in multisensory and multimedia communication environments. Therefore, for one to model language in its int...
Katerina Pastra, Christian Wallraven, Michael Schu...
IROS
2008
IEEE
167views Robotics» more  IROS 2008»
14 years 3 months ago
Active rough shape estimation of unknown objects
— This paper presents a method to determine the rough shape of an object. This is a step in the development of a ”One Click Grasping Tool”, a grasping tool of everyday-life o...
Claire Dune, Éric Marchand, Christophe Coll...
VR
2003
IEEE
211views Virtual Reality» more  VR 2003»
14 years 2 months ago
Editing Real World Scenes: Augmented Reality with Image-based Rendering
We present a method that using only an uncalibrated camera allows the capture of object geometry and appearance, and then at a later stage registration and AR overlay into a new s...
Dana Cobzas, Martin Jägersand, Keith Yerex
SSIAI
2002
IEEE
14 years 2 months ago
Automated Detection of All Kinds of Violations at a Street Intersection Using Real Time Individual Vehicle Tracking
2. Tracking traveling trajectory The traveling trajectory of eachvehicle is evaluatedfrom the analog images of 30 frames/sec.The computation of a traveling trajectory is mainly di...
Dae-Woon Lim, Sung-Hoon Choi, Joon-Suk Jun