Optical Flow for dense correspondence 使用了gradient-based optical flow algorithm将数据和某一张reference face对应起来。这样每个人脸的vertices会有一个index,与reference face对应的位置具有相同的index,比如鼻尖嘴角都是相同的index。 无法处理一些unusual faces。 Segmented 3D Morphable Model ...
3D Face Processing: Modeling, Analysis and Synthesis will interest those working in face processing for intelligent human computer interaction and video surveillance. It contains a comprehensive survey on existing face processing techniques, which can serve as a reference for students and researchers. It...
3-D Face Modeling and Its Applications face recognitiontemplate matchingThis paper describes some issues in building a 3-D human face modeling system which mainly consists of three parts: u2022 ... TS Huang,LA Tang - 《International Journal of Pattern Recognition & Artificial Intelligence》 被引...
Here we described Facemap, a framework that relates orofacial tracking to neural activity using new modeling tools. The framework is composed of two parts as follows: (1) an orofacial keypoint tracker for extracting eye, whisker, nose and mouth movements, and (2) a neural network encoding mod...
A particularly interesting line of such modeling is the attempt to find aspects of convergent evolution, i.e. similar functional properties between artificial and biological systems20. The rational here is that if two very different systems that solve a similar functional task—face recognition in ou...
A reference 3D facial model associated with the face and the facial expression can be obtained. An error can be determined between the one or more predicted 3D facial modeling parameters and the reference 3D facial model, and the user can be authenticated user based on the error being less ...
Finally, 3D face recognition has also achieved significant success towards expression invariance by modeling non-rigid surface deformations, removing facial expressions or by using parts-based face recognition. This chapter gives an overview of 3D face recognition and details both well-established and ...
An influential framework modeling how the visual pathway might combine low-level features in a cascade that leads to high-level recognition was put forth by Marr in his book Vision [51]. This framework has inspired many recent models of face recognition, as reviewed below. Face Recognition: ...
Automatic localization of 3D facial features is important for face recognition, tracking, modeling and expression analysis. Methods developed for 2D images... H Dibeklioglu,AA Salah,L Akarun - IEEE International Conference on Biometrics: Theory 被引量: 102发表: 2008年 Robust Facial Landmarking for...
(pRF), or the portion of the visual field that is processed by the population of neurons in a voxel15. Recently, our group and others have used pRF modeling to quantify spatial processing in face-selective regions, finding that pRFs in ventral face-selective regions are progressively larger ...