Journal ArticleDOI
The FERET evaluation methodology for face-recognition algorithms
TLDR
Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems.Abstract:
Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems. The Face Recognition Technology (FERET) program has addressed both issues through the FERET database of facial images and the establishment of the FERET tests. To date, 14,126 images from 1,199 individuals are included in the FERET database, which is divided into development and sequestered portions of the database. In September 1996, the FERET program administered the third in a series of FERET face-recognition tests. The primary objectives of the third test were to 1) assess the state of the art, 2) identify future areas of research, and 3) measure algorithm performance.read more
Citations
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Journal ArticleDOI
Equidistant prototypes embedding for single sample based face recognition with generic learning and incremental learning
TL;DR: Although it is fairly simple and parameter-free, LRA, combined with commonly used local descriptors, such as Gabor representation and local binary patterns, outperforms the state-of-the-art methods for several standard experiments on the Extended Yale B, CMU PIE, AR, and FERET databases.
Journal ArticleDOI
Statistical motion model based on the change of feature relationships: human gait-based recognition
I.R. Vega,Sudeep Sarkar +1 more
TL;DR: A novel representation scheme for view-based motion analysis using just the change in the relational statistics among the detected image features, without the need for object models, perfect segmentation, or part-level tracking is offered.
Journal ArticleDOI
Supply chain collaboration: A state-of-the-art literature review
TL;DR: In this paper, the authors present a survey of the state of the art in the field of bioinformatics, and propose a method to improve the quality of the results.
Proceedings ArticleDOI
Multi-pose Face Recognition for Person Retrieval in Camera Networks
TL;DR: A system for online capture and interactive retrieval is presented that allows to search for sightings of particular persons in the video database using distributed camera networks in a realistic surveillance scenario.
Book ChapterDOI
Face recognition with local gabor textons
TL;DR: This paper incorporates the advantages of Gabor feature and textons strategy together to form Gabor textons (LGT) to portray faces more precisely and eficiently and introduces a weighted histogram sequence matching mechanism for face recognition.
References
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