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» A Sparse Image Method for BEM Capacitance Extraction
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ICCV
2011
IEEE
13 years 9 months ago
Informative Feature Selection for Object Recognition via Sparse PCA
Bag-of-words (BoW) methods are a popular class of object recognition methods that use image features (e.g., SIFT) to form visual dictionaries and subsequent histogram vectors to r...
Nikhil Naikal, Allen Y. Yang, S. Shankar Sastry
DAGM
2006
Springer
15 years 1 months ago
Sparse Patch-Histograms for Object Classification in Cluttered Images
Abstract. We present a novel model for object recognition and detection that follows the widely adopted assumption that objects in images can be represented as a set of loosely cou...
Thomas Deselaers, Andre Hegerath, Daniel Keysers, ...
ICASSP
2009
IEEE
15 years 4 months ago
Color image feature extraction using color index local auto-correlations
In this paper, we propose a method for extracting color image features, called color index local auto-correlations. Pixel color is quantized and described sparsely in a manner sim...
Takumi Kobayashi, Nobuyuki Otsu
ICASSP
2009
IEEE
15 years 4 months ago
Inpainting with sparse linear combinations of exemplars
We introduce a new exemplar-based inpainting algorithm that represents the region to be inpainted as a sparse linear combination of example blocks, extracted from the image being ...
Brendt Wohlberg
ICASSP
2008
IEEE
15 years 4 months ago
Non-negative sparse image coder via simulated annealing and pseudo-inversion
We propose a sparse non-negative image coding based on simulated annealing and matrix pseudo-inversion. We show that sparsity and non-negativity are both important to obtain part-...
Ramin Pichevar, Jean Rouat