Titlebook: Affective Computing and Intelligent Interaction; First International Jianhua Tao,Tieniu Tan,Rosalind W. Picard Conference proceedings 2005

不遵守

Face Alignment Under Various Poses and Expressionsnder complex pose and expression variations. Different from 1-D profile texture feature in classical ASM, we use 2-D local texture feature for more accuracy, and in order to achieve high robustness and fast speed it is represented by Haar-wavelet features as in [5]. Extensive experiments are reported to show its effectiveness.

ATRIA

Facial Expression Recognition Using HLAC Features and WPCAlect the weight by combining statistic method with psychology theory. The experiments on the “CMU-PITTSBURGH AU-Coded Face Expression Image Database” show that our Weighted PCA method can improve the recognition rate significantly without increasing the computation, when compared with PCA.

不可接觸

Motion Normalizationf nearby backward frames. In contrast to previous motion retargeting approaches, we simplify the constraint condition of retargeting problem, which leads to the simpler solutions. Moreover, we improve Shin et al.’s algorithm [10], which is adopted by a widely used Kovar’s footskate cleanup algorithm [6] through adding one case missed by it.

Insatiable

A Composite Method to Extract Eye Contouriris is done by the simple but fast gradient method, which is improved by introducing gradient value to the weight matrix. Our detection method has been implemented in the C programming language and experimental results shows good accuracy and efficiency.

禁令

良心

Case-Based Facial Action Units Recognition Using Interactive Genetic Algorithmssion Database as case base. To standard images, a recognition rate of 77.5% is achieved on single AUs, and a similarity rate of 82.8% is obtained on AU combinations. To un-standard images, a recognition rate of 82.8% is achieved on single AUs, and a similarity rate of 93.1% is obtained on AU combinations.

FILTH

Simulated Annealing Based Hand Tracking in a Discrete Space annealing randomly, and particle filter is employed to represent the state of the tracker at each layer for searching in high dimensional configuration space. The experimental results show that the proposed method makes the hand tracking more efficient and robust.

后天習(xí)得

Condense

背景

Modulation of Attention by Faces Expressing Emotion: Evidence from Visual Markingrch negative faces than to search positive faces. However, this advantage did not appear in half-element condition when negative faces as distractors, which indicated that the view that negative faces capture attention more efficiently is not always like this.