In this paper we present a method to derive 3D shape and surface texture of a human face from a single image. The method draws on a general flexible 3D face model which is “learned” from examples of individual 3D-face data (Cyberware-scans). In an analysis-by-synthesis loop, the flexible model is matched to the novel face image. From the coloured 3D model obtained by this procedure, we can gene...

In the last few years, there has been considerable interest in sketch input of 3D solid models. This paper summarises recent developments and discusses the directions these developments are taking. We consider three developments in particular: the move away from line labelling as a technique in recognition of the problem posed by extended vertices; the increasing use of symmetry detection as a ...

This paper presents a genetic algorithm-based optimization approach for facial modeling from an uncalibrated face image using a #exible generic parameterized facial model (FGPFM). The FGPFM can be easily modi"ed using the facial features as parameters of FGPFM to construct an accurate speci"c 3D facial model from only a photograph of an individual with a yawed face based on the projection trans...

In our ongoing attempt to create and support workable “rules of play” for effective, goal-driven conversations in the context of collaborative modeling, we have now reached a stage in which a first operational setup for such ‘dialogue games’ has been developed and tested. In this paper we present the basic, generic structure of a game-like procedure description, based on a prototype game for co...

The recognition performance of the conventional 3D face recognition algorithm using ICP (Iterative Closest Point) is degraded for the 3D face data with expression changes. Addressing this problem, we consider the use of the expression-invariant local regions of a face. We find the expression-invariant regions through the distance analysis between 3D face data with the neutral expression and smi...

Existing face recognition systems are based on 2D facial images and exhibit well-known deficiencies. Accordingly, the face recognition research is gradually shifting from classical 2D to sophisticated 3D or hybrid 2D/3D. 3D shape reconstruction from multiview photographs and video sequences (2D images) is an active area of research which can fully leverage the potential of existing 2D image acq...

Approaches for cross-pose face recognition can be categorized into 2D image based and 3D model based. However, only a small number of 3D model based approaches are reported although 3D information is considered crucial for cross-pose analysis. Extended from a latest face reconstruction method using a single 3D reference model, this study focuses on using the reconstructed 3D face for recognitio...

Similarity evaluation of 3D face is the core issue in 3D face recognition. The article puts forwards a geodesic stripes based evaluation method which realizes assessment from global face to local parts. It can be used to make effective and comprehensive evaluation in many fields such as 3D face reconstruction, forensic science, archaeology etc. First, simplify each 3D face with a series of geod...

Despite of achieving good performance in controlled environment, the conventional 3D face recognition systems still encounter problems in handling the large variations in lighting conditions, facial expression and head pose The humans use the hybrid approach to recognize faces and therefore in this proposed method the human face recognition ability is incorporated by combining global and local ...

An EKF-based Analysis by Synthesis Approach J. Str om , T. Jebara, S. Basu and A. Pentland Media Laboratory Massachusetts Institute of Technology Cambridge, MA 02139 email: fjacob, jebara, sbasu, [email protected] Abstract A real-time system for tracking and modeling of faces using an analysis-by-synthesis approach is presented. A 3D face model is texture-mapped with a head-on view of the f...