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ICMCS
2007
IEEE
223views Multimedia» more  ICMCS 2007»
14 years 1 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
ICCV
2005
IEEE
14 years 9 months ago
Edge-Based Rich Representation for Vehicle Classification
In this paper we propose an approach to vehicle classification under a mid-field surveillance framework. We develop a repeatable and discriminative feature based on edge points an...
Xiaoxu Ma, W. Eric L. Grimson
ICADL
2005
Springer
91views Education» more  ICADL 2005»
14 years 29 days ago
Image Classification for Digital Archive Management
As tools and systems for producing and disseminating image data have improved significantly in recent years, the volume of digital images has grown rapidly. An efficient mechanism ...
Cheng-Hung Li, Chih-Yi Chiu, Hsiang-An Wang
CVPR
2010
IEEE
13 years 11 months ago
Multilinear Feature Extraction and Classification of Multi-Focal Images, With Applications in Nematode Taxonomy
In this paper, we present a 3D X-Ray Transform based multilinear feature extraction and classification method for Digital Multi-focal Images (DMI). In such images, morphological i...
Min Liu, Amit Roy-Chowdhury
CVPR
2007
IEEE
14 years 9 months ago
Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework
In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
Omer Rotem, Hayit Greenspan, Jacob Goldberger