By Takeo Kanade (auth.), Wenyi Zhao, Shaogang Gong, Xiaoou Tang (eds.)
During the final 30 years, face popularity and similar difficulties corresponding to face detection/tracking and facial features popularity have attracted researchers from either the engineering and psychology groups. furthermore, broad examine has been conducted to check hand and physique gestures. the knowledge of ways people understand those vital cues has major medical price and huge purposes. for instance, human-computer interplay, visible surveillance, and clever video indexing are energetic software parts. Aiming in the direction of placing such extraordinary belief power onto computers, researchers have made titanic growth. in spite of the fact that, technological demanding situations nonetheless exist in lots of features. Following a layout just like the IEEE foreign Workshop on research and Modeling of Faces and Gestures (AMFG) 2003, this one-day workshop (AMFG 2005) supplied a targeted foreign discussion board to compile recognized researchers and learn teams to study the prestige of popularity, research and modeling of faces and gestures, to debate the demanding situations that we face, and to discover destiny instructions. total, 30 papers have been chosen from ninety submitted manuscripts. the subjects of those papers diversity from characteristic illustration, strong reputation, studying, and 3D modeling to psychology. furthermore, invited talks got, by means of Prof. Kanade and Dr. Phillips. The technical software used to be prepared into 4 oral periods and poster periods. This workshop shouldn't have been attainable with out the well timed stories supplied through the participants of the Technical application Committee less than a decent agenda. October 2005 Wenyi Zhao Shaogang Gong Xiaoou Tang
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Extra resources for Analysis and Modelling of Faces and Gestures: Second International Workshop, AMFG 2005, Beijing, China, October 16, 2005. Proceedings
K. Vijaya Kumar and A. Mahalanobis, “Recent advances in composite correlation filter designs,” Asian Joural of Physics, Vol. 8, No. 4, pp. 407-420, 1999 21. C. Liu, “Gabor-based Kernel PCA with Fractional Power Polynomial Models for Face Recognition”, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 26, no. 5, pp. 572-581, 2004 Learning to Fuse 3D+2D Based Face Recognition at Both Feature and Decision Levels Stan Z. cn/ Abstract. 2D intensity images and 3D shape models are both useful for face recognition, but in different ways.
Gong, and X. ): AMFG 2005, LNCS 3723, pp. 44–54, 2005. c Springer-Verlag Berlin Heidelberg 2005 Learning to Fuse 3D+2D Based Face Recognition 45 these LBP histograms is used as a dissimilarity measure for comparing the two images. The above works have shown that LBP based methods can produces good results for face recognition in 2D images. Boosting learning with local features have recently been proposed as a promising approach. Jones and Viola  propose a general idea of boosting local features and training a classifier on difference between two face image feature vectors (Haar wavelets).
It is desirable to explore synergies of the two modalities at the feature level as well . The work presented here explores such synergies in the proposed framework of AdaBoost learning (with LBP feature). This is new for solving the problem of 3D+2D face fusion. In this paper, we propose a systematic framework for fusing 2D and 3D information at both feature and decision levels. The main contributions are the following: First, we propose to use LBP features as a representation of faces in 3D data.
Analysis and Modelling of Faces and Gestures: Second International Workshop, AMFG 2005, Beijing, China, October 16, 2005. Proceedings by Takeo Kanade (auth.), Wenyi Zhao, Shaogang Gong, Xiaoou Tang (eds.)
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