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» Foreground Object Detection Using Two Successive Images
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71
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SCIA
2005
Springer
203views Image Analysis» more  SCIA 2005»
15 years 2 months ago
Automated Multiple View Inspection Based on Uncalibrated Image Sequences
The Automated Multiple View Inspection (AMVI) has been recently developed for automated defect detection of manufactured objects. The approach detects defects by analysing image se...
Domingo Mery, Miguel Carrasco
ICIAR
2004
Springer
15 years 2 months ago
Appearance-Based Object Detection in Space-Variant Images: A Multi-model Approach
Recently, log-polar images have been successfully used in active-vision tasks such as vergence control or target tracking. However, while the role of foveal data has been exploited...
V. Javier Traver, Alexandre Bernardino, Plinio Mor...
77
Voted
ICIP
2007
IEEE
15 years 3 months ago
Propagating Image-Level Part Statistics to Enhance Object Detection
The bag-of-words approach has become increasingly attractive in the fields of object category recognition and scene classification, witnessed by some successful applications [5, 7...
Sheng Gao, Joo-Hwee Lim, Qibin Sun
105
Voted
ICCV
2005
IEEE
15 years 11 months ago
A Supervised Learning Framework for Generic Object Detection in Images
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
Saad Ali, Mubarak Shah
ECCV
2002
Springer
15 years 11 months ago
Probabilistic and Voting Approaches to Cue Integration for Figure-Ground Segmentation
This paper describes techniques for fusing the output of multiple cues to robustly and accurately segment foreground objects from the background in image sequences. Two different m...
Eric Hayman, Jan-Olof Eklundh