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» Object Separation In X-Ray Image Sets
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SCALESPACE
2007
Springer
14 years 5 months ago
Detecting Regions of Dynamic Texture
Abstract. Motion estimation is usually based on the brightness constancy assumption. This assumption holds well for rigid objects with a Lambertian surface, but it is less appropri...
Tomer Amiaz, Sándor Fazekas, Dmitry Chetver...
ICCV
2009
IEEE
1335views Computer Vision» more  ICCV 2009»
15 years 3 months ago
Top-Down Color Attention for Object Recognition
Generally the bag-of-words based image representation follows a bottom-up paradigm. The subsequent stages of the process: feature detection, feature description, vocabulary cons...
Fahad Shahbaz Khan, Joost van de Weijer, Maria Van...
IJCV
2006
145views more  IJCV 2006»
13 years 10 months ago
Simultaneous Object Recognition and Segmentation from Single or Multiple Model Views
We present a novel Object Recognition approach based on affine invariant regions. It actively counters the problems related to the limited repeatability of the region detectors, an...
Vittorio Ferrari, Tinne Tuytelaars, Luc J. Van Goo...
CVPR
2005
IEEE
15 years 26 days ago
Online Detection and Classification of Moving Objects Using Progressively Improving Detectors
Boosting based detection methods have successfully been used for robust detection of faces and pedestrians. However, a very large amount of labeled examples are required for train...
Omar Javed, Saad Ali, Mubarak Shah
PSIVT
2009
Springer
400views Multimedia» more  PSIVT 2009»
14 years 5 months ago
Local Image Descriptors Using Supervised Kernel ICA
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
Masaki Yamazaki, Sidney Fels