In order to perform coherent and robust interpretation of moving faces, one must resolve the inconsistency and ambiguities observed among multiple sources of highly noisy visual measurements. In this work, we describe a method for perceptual fusion through the estimation of observation covariance. We demonstrate the approach through a working system that performs real-time face detection and tr...

In this paper, we describe a new approach for estimating 3D pose of a human face from a monocular image. We assume that the shape of a face can be approximated by an ellipse and the ratio of the major to minor axis of the ellipse is given. We rst detect a face ellipse and then estimate the face pose. Compared with the existing feature-based approaches for face pose estimation, our approach is m...

We investigate how lighting can be used to influence how the personality of virtual characters is perceived. We propose a character-centric lighting system composed of three dynamic lights that can be configured using an interactive editor. To study the effect of character-centric lighting on observers, we created four lighting configurations derived from the photography and film literature. A ...

The communicative power of face makes modeling and tracking of the face an active research topic. The new MPEG4 standard includes support not only for natural video and audio, but also for synthetic graphics and sound. Representation and animation control of human faces are defined by deforming a generic facial model. We hereby use this standard as a testbed for our nonrigid motion analysis on ...

everal years ago, online 3D technology was expected to change the face of the Web. Industry observers said the technology would transform the Web from a static two-dimensional world into a dynamic, interactive 3D world ideal for commercial applications. However, the technology never found a killer app, never caught on with many users, and thus never became commercially successful, outside of vi...

In recent years, 3D face recognition has obtained much attention. Using 2D face image as probe and 3D face data as gallery is an alternative method to deal with computation complexity, expensive equipment and fussy pretreatment in 3D face recognition systems. In this paper we propose a learning based 2D-3D face matching method using the CCA to learn the mapping between 2D face image and 3D face...

3D Face Recognition is an active area of research for past several years. For a 3D face recognition system one would like to have an accurate as well as low cost setup for constructing 3D face model. In this paper, we use Profilometry approach to obtain a 3D face model. This method gives a low cost solution to the problem of acquiring 3D data and the 3D face models generated by this method are ...

Three Dimensional (3D) human face recognition is emerging as a significant biometric technology. Research interest into 3D face recognition has increased during recent years due to availability of improved 3D acquisition devices and processing algorithms. A 3D face image is represented by 3D meshes or range images which contain depth information. Range images have several advantages over 2D int...

This paper proposes a novel face mosaicing approach to modeling human facial appearance and geometry in a unified framework. The human head geometry is approximated with a 3D ellipsoid model. Multi-view face images are back projected onto the surface of the ellipsoid, and the surface texture map is decomposed into an array of local patches, which are allowed to move locally in order to achieve ...