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The aim of this study was to integrate data of CAQ with data of CAD/CAM software for making the quality action in control via combining the products engineering quality information to their structural model. Based on the analysis of custom request of product quality, the mapping relationship between data of structure and engineering was proposed by the way of information extraction, filtering, feature...
Calculation of the relevant measurement properties of 3D model have already been extensively studied in these days. Methods of geometric measurements with their computation and estimation are proposed by the approximation coefficients of 3D model with spherical harmonics representation as well as the difference of two models in the paper. Finally, the numerical tests and future works are listed.
Light weighted programming, same as light weighted modeling, is meaningful for suitable transmission of large scale WebVR scenes on Internet and easy implementation on browsers. This paper extends classical 2D Cohen-Sutherland coding, presents a new 3D or higher Cohen-Sutherland coding scheme, and applies it to light weighted VRML interaction programming. Our practical implementation shows that the...
3D facial representations have been widely used for face recognition and facial expression recognition. Both local and global features can be extracted from either static or dynamic models in both spatial and temporal domains. 3D local features are referred to the features in regional facial areas while 3D global features are referred to the features from the entire facial region. In this paper, we...
Pose estimation plays an essential role in many computer vision applications, such as human computer interaction (HCI), driver attentiveness monitoring, face recognition, automatic face model editing, etc. In this paper, we propose a geometric feature based pose estimation approach based on 3D facial models. By identifying two clusters of inner eye corners of a 3D facial model, we find the nose tip...
Face information processing relies on the quality of data resource. From the data modality point of view, a face database can be 2D or 3D, and static or dynamic. From the task point of view, the data can be used for research of computer based automatic face recognition, face expression recognition, face detection, or cognitive and psychological investigation. With the advancement of 3D imaging technologies,...
Research on automatic facial expression recognition has benefited from work in psychology, specifically the Facial Action Coding System (FACS). To date, most existing approaches are primarily based on 2D images or videos. With the emergence of real-time 3D dynamic imaging technologies, however, 3D dynamic facial data is now available, thus opening up an alternative to detect facial action units in...
Research on 3D face recognition has been intensified in recent years. However, most research has focused on the 3D static data analysis. In this paper, we investigate the face recognition problem using dynamic 3D face model sequences. Based on our newly created 3D dynamic face database, we propose to use a spatio-temporal hidden Markov model (HMM) which incorporates 3D surface feature characterization...
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