ACCURATE DEPTH−MAP ESTIMATION FOR 3D FACE MODELING (WedPmPO4)
نویسندگان
چکیده
In the past few years several systems for tridimensional face reconstruction based on the analysis of 2D images have been proposed. The main goal of these systems is to provide fast and reliable 3D information to face recognition systems. Nevertheless, nowadays, affordable systems that guarantees an high level of details and fast processing time using commercial devices are far from be realized. In this paper we propose a novel approach for a detailed depth−map extraction of the analyzed face from a set of three calibrated cameras. The proposed algorithm is based on a fast re−implementation of graph−cuts approach and guarantees attractive results in a few seconds.
منابع مشابه
Fast and Realistic 3D Face Reconstruction from a Set of Views for Multimedia Applications
Acquisition and real-time reconstruction of a detailed 3D model of a face raises a great deal of interest due to modern multimedia applications: Advanced tasks, like video-conferences set in a virtual round table, biometrical recognition systems, multi-player video-games, etc. etc. requires affordable systems to extract the 3D facial information from the environment and for its processing. The ...
متن کاملFast Intra Mode Decision for Depth Map coding in 3D-HEVC Standard
three dimensional- high efficiency video coding (3D-HEVC) is the expanded version of the latest video compression standard, namely high efficiency video coding (HEVC), which is used to compress 3D videos. 3D videos include texture video and depth map. Since the statistical characteristics of depth maps are different from those of texture videos, new tools have been added to the HEVC standard fo...
متن کامل3D Generic Elastic Models for 2D Pose Synthesis and Face Recognition
Pose, illumination, expression and the generalization of such effects to unseen face data samples are the fundamental problems faced in face recognition. The significant contribution of this thesis is the ability to match any two face images with a large pose angle variation. This approach utilizes a proposed 3D prior face model in order to cover a wide range of poses. To achieve this, a rapid ...
متن کاملHybridization of Facial Features and Use of Multi Modal Information for 3D Face Recognition
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 ...
متن کاملV2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map
Most of the existing deep learning-based methods for 3D hand and human pose estimation from a single depth map are based on a common framework that takes a 2D depth map and directly regresses the 3D coordinates of keypoints, such as hand or human body joints, via 2D convolutional neural networks (CNNs). The first weakness of this approach is the presence of perspective distortion in the 2D dept...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2005