Charles Beumier

Bio: Charles Beumier is an academic researcher from Royal Military Academy. The author has contributed to research in topics: Change detection & Pixel. The author has an hindex of 10, co-authored 41 publications receiving 775 citations. Previous affiliations of Charles Beumier include École Normale Supérieure.

Automatic 3D face authentication

Abstract: This paper presents automatic face authentication from facial surface analysis. This geometrical approach was motivated by difficulties encountered when considering frontal face recognition. Apart from being less sensitive to viewpoint and lighting conditions, the method exploits information which is complementary to gray level based approaches, enabling the fusion with those techniques. A 3D acquisition system based on structured light and adapted to facial surface capture is presented. It is cheap and fast while offering a sufficient resolution for face recognition purposes. The acquisition system and the 3D face comparison algorithm were designed to be integrated in security applications with cooperative scenario.

Face verification from 3D and grey level clues

Abstract: We address in this paper automatic face verification from 3D facial surface and grey level analysis. 3D acquisition is performed by a structured light system, adapted to face capture and allowing grey level acquisition in alignment. The 3D facial shapes are compared and the residual error after 3D matching is used as a first similarity measure. A second similarity measure is derived from grey level comparison. As expected, fusing 3D and intensity information increases verification performances. The acquisition system, the 3D and grey level comparison algorithms were designed to be integrated in security applications in which individuals cooperate.

BIOMET: a multimodal person authentication database including face, voice, fingerprint, hand and signature modalities

Abstract: Information technology innovations involve a constant evolution of man-machine interaction modes. Automated authentication of people could be used to better adapt the machine to the user. Security can also be enhanced through a better people authentication. Biometrics appears as a promising tool in these two situations. Different modalities can be envisaged, such as: fingerprint, human face images, hand shape, voice, handwritten signature... In order to take advantage of the particularities of each modality, and to improve the performance of a person authentication system, multimodality can be applied. This motivated the recording of BIOMET, a biometric database with five different modalities, including face, voice, fingerprint, hand and signature data. In this paper, the BIOMET multimodal database for person authentication is described. Details about the acquisition protocols of each modality are given. Preliminary monomodal verification results, obtained on a subcorpus of the BIOMET fingerprint data, are also presented.

3D face recognition

Abstract: Face recognition has recently received much attention as a biometric security means well accepted by users. 3D face recognition, exploiting the geometry of the facial surface, addresses the two most sensitive aspects of face recognition: viewpoint and illumination changes. This paper presents a 3D face recognition approach based on the geometrical comparison of a set of profiles. These profiles are obtained as parallel planar cuts of the facial surfaces. In a first step, normalised profiles are extracted from each face independently thanks to the intrinsic symmetry of faces. The homologue profiles of test and reference surfaces are then matched two by two. The individual distances of profile pairs are combined into a global distance. The global distance after optimisation is used as criterion to state the similarity of faces. Results are presented for a population of 81 persons of a 3D face database of intermediate quality.

Automatic Face Authentication from 3D surface

Abstract: This paper presents automatic face authentication based on facial surface analysis. The success of a previous profile-based approach, exclusively relying on geometrical features of the external contour, led us to consider the full facial surface. This motivation was further supported by the independence of viewpoint and lighting conditions of 3D information. The geometry also carries information which is complementary to grey-level based approaches, supporting the combination with those techniques. The facial surface is captured by a system based on structured light and adapted to face to deliver a cheap, fast and sufficiently precise solution. Typical applications concern security in cooperative situations.

XM2VTSDB: The Extended M2VTS Database

Abstract: Keywords: vision Reference EPFL-CONF-82502 URL: ftp://ftp.idiap.ch/pub/papers/vision/avbpa99.pdf Record created on 2006-03-10, modified on 2017-05-10

A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition

Abstract: This survey focuses on recognition performed by matching models of the three-dimensional shape of the face, either alone or in combination with matching corresponding two-dimensional intensity images. Research trends to date are summarized, and challenges confronting the development of more accurate three-dimensional face recognition are identified. These challenges include the need for better sensors, improved recognition algorithms, and more rigorous experimental methodology.

Multimodal fusion for multimedia analysis: a survey

Abstract: This survey aims at providing multimedia researchers with a state-of-the-art overview of fusion strategies, which are used for combining multiple modalities in order to accomplish various multimedia analysis tasks. The existing literature on multimodal fusion research is presented through several classifications based on the fusion methodology and the level of fusion (feature, decision, and hybrid). The fusion methods are described from the perspective of the basic concept, advantages, weaknesses, and their usage in various analysis tasks as reported in the literature. Moreover, several distinctive issues that influence a multimodal fusion process such as, the use of correlation and independence, confidence level, contextual information, synchronization between different modalities, and the optimal modality selection are also highlighted. Finally, we present the open issues for further research in the area of multimodal fusion.

2D and 3D face recognition: A survey

Abstract: Government agencies are investing a considerable amount of resources into improving security systems as result of recent terrorist events that dangerously exposed flaws and weaknesses in today's safety mechanisms. Badge or password-based authentication procedures are too easy to hack. Biometrics represents a valid alternative but they suffer of drawbacks as well. Iris scanning, for example, is very reliable but too intrusive; fingerprints are socially accepted, but not applicable to non-consentient people. On the other hand, face recognition represents a good compromise between what's socially acceptable and what's reliable, even when operating under controlled conditions. In last decade, many algorithms based on linear/nonlinear methods, neural networks, wavelets, etc. have been proposed. Nevertheless, Face Recognition Vendor Test 2002 shown that most of these approaches encountered problems in outdoor conditions. This lowered their reliability compared to state of the art biometrics. This paper provides an ''ex cursus'' of recent face recognition research trends in 2D imagery and 3D model based algorithms. To simplify comparisons across different approaches, tables containing different collection of parameters (such as input size, recognition rate, number of addressed problems) are provided. This paper concludes by proposing possible future directions.

Bosphorus Database for 3D Face Analysis

Abstract: A new 3D face database that includes a rich set of expressions, systematic variation of poses and different types of occlusions is presented in this paper. This database is unique from three aspects: i) the facial expressions are composed of judiciously selected subset of Action Units as well as the six basic emotions, and many actors/actresses are incorporated to obtain more realistic expression data; ii) a rich set of head pose variations are available; and iii) different types of face occlusions are included. Hence, this new database can be a very valuable resource for development and evaluation of algorithms on face recognition under adverse conditions and facial expression analysis as well as for facial expression synthesis.