Regional culture shows the personality of a city, the expression of regional culture in urban landscapes is the focus of modern urban landscape construction. By elaborating connotations of landscape furniture and regi...Regional culture shows the personality of a city, the expression of regional culture in urban landscapes is the focus of modern urban landscape construction. By elaborating connotations of landscape furniture and regional culture, the ways of refining cultural connotations of city history, and expressing regional cultures in landscape furniture were explored to provide references for the expression of regional cultures in urban landscapes.展开更多
A tattoo[文身] artist in Los Angeles has created an app-the"Skin Motion" app. It allows you to create designs from audio clips[音频片段] of noises, spoken words and music. And they can be played back on a sm...A tattoo[文身] artist in Los Angeles has created an app-the"Skin Motion" app. It allows you to create designs from audio clips[音频片段] of noises, spoken words and music. And they can be played back on a smartphone.Tattoos have long been a way to express yourself. Thanks to new technology, you can add an extra dimension[维(度)]一auditory sense[听觉] to your body art. The app allows users to memorialize[纪念] the lost loved ones by capturing[捕获] their voices from recordings[录音].展开更多
The challenge of coping with non-frontal head poses during facial expression recognition results in considerable reduction of accuracy and robustness when capturing expressions that occur during natural communications...The challenge of coping with non-frontal head poses during facial expression recognition results in considerable reduction of accuracy and robustness when capturing expressions that occur during natural communications. In this paper, we attempt to recognize facial expressions under poses with large rotation angles from 2D videos. A depth^patch based 4D expression representation model is proposed. It was reconstructed from 2D dynamic images for delineating continuous spatial changes and temporal context under non-frontal cases. Furthermore, we present an effective deep neural network classifier, which can accurately capture pose-variant expression features from the depth patches and recognize non-frontal expressions. Experimental results on the BU-4DFE database show that the proposed method achieves a high recognition accuracy of 86.87% for non-frontal facial expressions within a range of head rotation angle of up to 52%, outperforming existing methods. We also present a quantitative analysis of the components contributing to the performance gain through tests on the BU-4DFE and Multi-PIE datasets.展开更多
基金Supported by Arts & Science Fund of Tianjin City(E10030)Natural Science Foundation of Tianjin City(08JCYBJC05100)
文摘Regional culture shows the personality of a city, the expression of regional culture in urban landscapes is the focus of modern urban landscape construction. By elaborating connotations of landscape furniture and regional culture, the ways of refining cultural connotations of city history, and expressing regional cultures in landscape furniture were explored to provide references for the expression of regional cultures in urban landscapes.
文摘A tattoo[文身] artist in Los Angeles has created an app-the"Skin Motion" app. It allows you to create designs from audio clips[音频片段] of noises, spoken words and music. And they can be played back on a smartphone.Tattoos have long been a way to express yourself. Thanks to new technology, you can add an extra dimension[维(度)]一auditory sense[听觉] to your body art. The app allows users to memorialize[纪念] the lost loved ones by capturing[捕获] their voices from recordings[录音].
基金This work was supported by the National Key Research and Development Program of China under Grant No. 2016YFBI001405, and the National Natural Science Foundation of China under Grant Nos. 61232013, 61422212, and 61661146002.
文摘The challenge of coping with non-frontal head poses during facial expression recognition results in considerable reduction of accuracy and robustness when capturing expressions that occur during natural communications. In this paper, we attempt to recognize facial expressions under poses with large rotation angles from 2D videos. A depth^patch based 4D expression representation model is proposed. It was reconstructed from 2D dynamic images for delineating continuous spatial changes and temporal context under non-frontal cases. Furthermore, we present an effective deep neural network classifier, which can accurately capture pose-variant expression features from the depth patches and recognize non-frontal expressions. Experimental results on the BU-4DFE database show that the proposed method achieves a high recognition accuracy of 86.87% for non-frontal facial expressions within a range of head rotation angle of up to 52%, outperforming existing methods. We also present a quantitative analysis of the components contributing to the performance gain through tests on the BU-4DFE and Multi-PIE datasets.
