Conference proceeding
Weight Calculation based Image Recognition
SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, PTS 1-4, Vol.303-306, pp.1577-1580
Applied Mechanics and Materials
02/01/2013
DOI: 10.4028/www.scientific.net/AMM.303-306.1577
Abstract
The method to recognize facial expression in images quickly has been widely applied in many areas, but there is no way to take into account the accuracy and speed of recognition. This paper presents a method based on the weight calculation for fast expression recognition. It first calculates facial features based on active shape model, and then matches the features to the standard expression vector got by large number of image training and recognizes the expression in the static image. The experiments show that the system can provide fast, universal expression recognizing function under the premise of guaranteeing an ideal accuracy.
Details
- Title: Subtitle
- Weight Calculation based Image Recognition
- Creators
- Yifan Yuan - Beijing Univ Posts & Telecommun, Sch Comp Sci, Beijing Key Lab Intelligent Telecommun Software &, Beijing 100876, Peoples R ChinaJunping Du - Beijing Univ Posts & Telecommun, Sch Comp Sci, Beijing Key Lab Intelligent Telecommun Software &, Beijing 100876, Peoples R ChinaJun Zhou - Beijing University of Posts and TelecommunicationsCheng Lu - Beijing Univ Posts & Telecommun, Sch Comp Sci, Beijing Key Lab Intelligent Telecommun Software &, Beijing 100876, Peoples R ChinaErwei Bai - Beijing Univ Posts & Telecommun, Sch Comp Sci, Beijing Key Lab Intelligent Telecommun Software &, Beijing 100876, Peoples R ChinaYawen Li - Beijing Univ Posts & Telecommun, Sch Econ & Management, Beijing 100876, Peoples R China
- Contributors
- Y H KIm (Editor)P Yarlagadda (Editor)
- Resource Type
- Conference proceeding
- Publication Details
- SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, PTS 1-4, Vol.303-306, pp.1577-1580
- Publisher
- Trans Tech Publications Ltd
- Series
- Applied Mechanics and Materials
- DOI
- 10.4028/www.scientific.net/AMM.303-306.1577
- ISSN
- 1660-9336
- eISSN
- 1662-7482
- Number of pages
- 2
- Grant note
- 4111002 / Beijing Natural Science Foundation 91024001; 61070142 / National Natural Science Foundation of China; National Natural Science Foundation of China (NSFC) 2012CB821200; 2012CB821206 / National Basic Research Program of China (973 Program); National Basic Research Program of China
- Language
- English
- Date published
- 02/01/2013
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984573818702771
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