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» Image Categorization Using Local Probabilistic Descriptors
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ECCV
2008
Springer
13 years 9 months ago
SMD: A Locally Stable Monotonic Change Invariant Feature Descriptor
Extraction and matching of discriminative feature points in images is an important problem in computer vision with applications in image classification, object recognition, mosaici...
Raj Gupta, Anurag Mittal
TIP
2008
222views more  TIP 2008»
13 years 7 months ago
Local Region Descriptors for Active Contours Evolution
Edge-based and region-based active contours are frequently used in image segmentation. While edges characterize small neighborhoods of pixels, region descriptors characterize entir...
Cristina Darolti, Alfred Mertins, Christoph Bodens...
MVA
2010
248views Computer Vision» more  MVA 2010»
13 years 2 months ago
A comparative evaluation of interest point detectors and local descriptors for visual SLAM
Abstract In this paper we compare the behavior of different interest points detectors and descriptors under the conditions needed to be used as landmarks in visionbased simultaneou...
Arturo Gil, Óscar Martínez Mozos, M&...
ICMCS
2007
IEEE
223views Multimedia» more  ICMCS 2007»
14 years 2 months ago
An Effective Local Invariant Descriptor Combining Luminance and Color Information
Extraction of stable local invariant features is very important in many computer vision applications, such as image matching, object recognition and image retrieval. Most existing...
Dong Zhang, Weiqiang Wang, Wen Gao, Shuqiang Jiang
MM
2010
ACM
462views Multimedia» more  MM 2010»
13 years 7 months ago
KPB-SIFT: a compact local feature descriptor
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and object recognition. However, such descriptors are typically of ...
Gangqiang Zhao, Ling Chen, Gencai Chen, Junsong Yu...