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ICMLA
2007
15 years 5 months ago
Scalable optimal linear representation for face and object recognition
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
Yiming Wu, Xiuwen Liu, Washington Mio
149
Voted
DAGM
2006
Springer
15 years 7 months ago
Exploiting Low-Level Image Segmentation for Object Recognition
Abstract. A method for exploiting the information in low-level image segmentations for the purpose of object recognition is presented. The key idea is to use a whole ensemble of se...
Volker Roth, Björn Ommer
CVPR
2007
IEEE
16 years 5 months ago
Beyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features
We present a discriminative shape-based algorithm for object category localization and recognition. Our method learns object models in a weakly-supervised fashion, without requiri...
Marius Leordeanu, Martial Hebert, Rahul Sukthankar
152
Voted
ECCV
2008
Springer
16 years 5 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
155
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ICIP
2005
IEEE
16 years 5 months ago
Comparison of invariant descriptors for object recognition
This paper deals with the performance evaluation of three object invariant descriptors : Hu moments, Zernike moments and Fourier-Mellin descriptors. Experiments are conducted on a...
Anant Choksuriwong, Bruno Emile, Hélè...