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205
Voted
ICCV
2009
IEEE
1821views Computer Vision» more  ICCV 2009»
16 years 8 months ago
Feature Correspondence and Deformable Object Matching via Agglomerative Correspondence Clustering
We present an efficient method for feature correspondence and object-based image matching, which exploits both photometric similarity and pairwise geometric consistency from local ...
Minsu Cho (Seoul National University), Jungmin Lee...

Book
2982views
16 years 8 months ago
Navigating Mobile Robots: Sensors and Techniques
It's a complete robotic navigation cookbook! "This book surveys the state of the art in sensors, systems, methods and technologies utilized by a mobile robot to determin...
J. Borenstein, H. R. Everett, and L. Feng
ICCV
2009
IEEE
1022views Computer Vision» more  ICCV 2009»
16 years 8 months ago
Kernelized Locality-Sensitive Hashing for Scalable Image Search
Fast retrieval methods are critical for large-scale and data-driven vision applications. Recent work has explored ways to embed high-dimensional features or complex distance fun...
Brian Kulis, Kristen Grauman
ICCV
2009
IEEE
1035views Computer Vision» more  ICCV 2009»
16 years 8 months ago
Efficient High-Quality Image Contour Detection
Image contour detection is fundamental to many image analysis applications, including image segmentation, object recognition and classification. However, highly accurate image c...
Bryan Catanzaro, Bor-Yiing Su, Narayanan Sundaram,...
ICCV
2009
IEEE
16 years 8 months ago
What is the Best Multi-Stage Architecture for Object Recognition?
In many recent object recognition systems, feature extraction stages are generally composed of a filter bank, a non-linear transformation, and some sort of feature pooling layer...
Kevin Jarrett, Koray Kavukcuoglu, Marc’Aurelio R...