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ICCV
2005
IEEE
14 years 3 months ago
Contour-Based Learning for Object Detection
We present a novel categorical object detection scheme that uses only local contour-based features. A two-stage, partially supervised learning architecture is proposed: a rudiment...
Jamie Shotton, Andrew Blake, Roberto Cipolla
PR
2008
99views more  PR 2008»
13 years 9 months ago
Interest point detection using imbalance oriented selection
Interest point detection has a wide range of applications, such as image retrieval and object recognition. Given an image, many previous interest point detectors first assign inte...
Qi Li, Jieping Ye, Chandra Kambhamettu
MVA
1990
13 years 11 months ago
Movement Vector Detection with Reliability Indices
There is one method, called the Block Gradient Method here, whereby to detect image movements from an image sequence. This method has an advantage over the computing costs in a mo...
Naoya Ohta
ICIP
2003
IEEE
14 years 11 months ago
Contour detection operators based on surround inhibition
We propose a biologically motivated computational step, called non-classical receptive field (non-CRF) inhibition, to improve contour detection in images of natural scenes. We aug...
Cosmin Grigorescu, Nicolai Petkov, Michel A. Weste...
INFORMATICALT
2008
104views more  INFORMATICALT 2008»
13 years 10 months ago
An Efficient Technique to Detect Visual Defects in Particleboards
This paper is concerned with the problem of image analysis based detection of local defects embedded in particleboard surfaces. Though simple, but efficient technique developed is ...
Jonas Guzaitis, Antanas Verikas