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» Using Photometric Invariants for 3D Object Recognition
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ICCV
2011
IEEE
13 years 12 months ago
Smooth Object Retrieval using a Bag of Boundaries
We describe a scalable approach to 3D smooth object retrieval which searches for and localizes all the occurrences of a user outlined object in a dataset of images in real time. T...
Relja Arandjelovic, Andrew Zisserman
ECCV
2008
Springer
16 years 1 months ago
Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
Andrew Gilbert, John Illingworth, Richard Bowden
ICPR
2008
IEEE
16 years 1 months ago
Object recognition and segmentation using SIFT and Graph Cuts
In this paper, we propose a method of object recognition and segmentation using Scale-Invariant Feature Transform (SIFT) and Graph Cuts. SIFT feature is invariant for rotations, s...
Akira Suga, Keita Fukuda, Tetsuya Takiguchi, Yasuo...
ICCV
2005
IEEE
16 years 1 months ago
Object Recognition in High Clutter Images Using Line Features
We present an object recognition algorithm that uses model and image line features to locate complex objects in high clutter environments. Finding correspondences between model an...
Philip David, Daniel DeMenthon
FGR
2004
IEEE
138views Biometrics» more  FGR 2004»
15 years 3 months ago
Illuminating Light Field: Image-based Face Recognition Across Illuminations and Poses
We present an image-based method for face recognition across different illuminations and different poses, where the term `image-based' means that only 2D images are used and ...
Shaohua Kevin Zhou, Rama Chellappa