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Titlebook: Advances in Machine Vision, Image Processing, and Pattern Analysis; International Worksh Nanning Zheng,Xiaoyi Jiang,Xuguang Lan Conference

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楼主: TIBIA
发表于 2025-3-23 11:00:55 | 显示全部楼层
Syed Wasif Hussain,Muhammad Salman Ashrafriments. The new method is suitable for audio-visual speech recognition. This paper also introduces a new database which is available for audio visual processing. The experimental results show that the proposed system has high accuracy for mouth region localization (more than 95 %) even if the tracking results of preceding frames are unavailable.
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Acetogenic and Acid-Producing Clostridia,DF), based on MQDF and kernel method. The proposed KMQDF is applied in facial expression recognition. JAFFE face database and the AR face database are used to test this algorithm. Experimental results show that the proposed KMQDF with appropriated parameters can outperform 1-NN, QDF, MQDF classifier.
发表于 2025-3-24 13:51:09 | 显示全部楼层
https://doi.org/10.1007/978-3-662-06272-2 can adaptively reflects the complexity of pattern at the pixel. A heuristic background components selection rule is developed to make pixel classification decision based on the proposed model. Our approach is demonstrated to be more adaptive, accurate and robust than some existing similar pixel modeling approaches through experimental results.
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