A Novel Approach of 3D Reconstruction of Human Face Using Monocular Camera

2005 ◽  
Author(s):  
B. Yip ◽  
J.S. Jin
Keyword(s):  
3D Reconstruction ◽  
Human Face ◽  
Monocular Camera ◽  
Novel Approach

Fast 3D Human Face Modeling Method Based on Multiple View 2D Images

2013 ◽  
Vol 273 ◽  
pp. 796-799
Author(s):  
Yong Sheng Wang
Keyword(s):  
Gabor Filter ◽  
Visual Features ◽  
Translation Vector ◽  
Human Face ◽  
Face Modeling ◽  
3D Images ◽  
Multiple View ◽  
Novel Approach ◽  
2D And 3D ◽  
2D Images

This paper presents a novel approach to model 3D human face from multiple view 2D images in a fast mode. Our proposed method mainly includes three steps: 1) Face Recognition from 2D images, 2) Converting 2D images to 3D images, 3) Modeling 3D human face. To extract visual features of both 2D and 3D images, visual features adopted in 3D are described by Point Signature, and visual features utilized in 2D is represented by Gabor filter responses. Afterwards, 3D model is obtained by combining multiple view 2D images through calculating projections vector and translation vector. Experimental results show that our method can model 3D human face with high accuracy and efficiency.

3D Real-Time Reconstruction Approach for Multimedia Sensor Networks

2010 ◽  
Vol 1 (4) ◽  
pp. 61-77
Author(s):  
Ahmed Mostefaoui ◽  
Benoit Piranda
Keyword(s):  
Sensor Networks ◽  
3D Reconstruction ◽  
Real Time ◽  
Multimedia Data ◽  
Sensor Nodes ◽  
Multimedia Sensor Networks ◽  
Network Bandwidth ◽  
Descriptive Information ◽  
Novel Approach ◽  
Technological Advances

Multimedia sensor networks have emerged due to the tremendous technological advances in multimedia hardware miniaturization and the application potential they present. However, the time sensitive nature of multimedia data makes them very problematic to handle, especially within constrained environments. In this paper, the authors present a novel approach based on continuous 3D real time reconstruction of the monitored area dedicated for video surveillance applications. Real-time 3D reconstruction allows an important network bandwidth reduction in context to sensor nodes sending descriptive information to the fusion server instead heavy video streams. Each node has to support additional processing in order to extract this descriptive information in real-time, which results in video sensors capturing tasks, data analysis, and extraction of features needed for 3D reconstruction. In this paper, the authors focus on the design and implementation of such sensor node and validate their approach through real experimentations conducted on a real video sensor.

Human face 3D reconstruction with handheld single 2D camera on mobile devices

2016 ◽  
Author(s):  
Alexander Limonov ◽  
Jae-Yun Jeong ◽  
Minsoo Kim ◽  
Sungjin Kim ◽  
Yonggyoo Kim
Keyword(s):  
3D Reconstruction ◽  
Mobile Devices ◽  
Human Face

Towards True-To-Scale 3D Reconstruction of the Human Face Using Structured Light Projection and Off-The-Shelf Cameras

2018 ◽  
Author(s):  
Kiran K. Vupparaboina ◽  
Roopak R. Tamboli ◽  
Shanmukh Manne ◽  
Peter A. Kara ◽  
Maria G. Martini ◽  
...  
Keyword(s):  
3D Reconstruction ◽  
Structured Light ◽  
Human Face

scholarly journals Similarity Graph-Based Camera Tracking for Effective 3D Geometry Reconstruction with Mobile RGB-D Camera

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4897
Author(s):  
Jaepung An ◽  
Sangbeom Lee ◽  
Sanghun Park ◽  
Insung Ihm
Keyword(s):  
3D Reconstruction ◽  
Spanning Tree ◽  
Weighted Graph ◽  
Camera Tracking ◽  
Basic Algorithm ◽  
Novel Approach ◽  
3D Geometry ◽  
Processing Order ◽  
Maximum Spanning Tree ◽  
Similarity Graph

In this paper, we present a novel approach for reconstructing 3D geometry from a stream of images captured by a consumer-grade mobile RGB-D sensor. In contrast to previous real-time online approaches that process each incoming image in acquisition order, we show that applying a carefully selected order of (possibly a subset of) frames for pose estimation enables the performance of robust 3D reconstruction while automatically filtering out error-prone images. Our algorithm first organizes the input frames into a weighted graph called the similarity graph. A maximum spanning tree is then found in the graph, and its traversal determines the frames and their processing order. The basic algorithm is then extended by locally repairing the original spanning tree and merging disconnected tree components, if they exist, as much as possible, enhancing the result of 3D reconstruction. The capability of our method to generate a less error-prone stream from an input RGB-D stream may also be effectively combined with more sophisticated state-of-the-art techniques, which further increases their effectiveness in 3D reconstruction.

Human Face Fast-3D-Reconstruction from a Single Image

2012 ◽  
Vol 157-158 ◽  
pp. 1008-1011
Author(s):  
Hui Huang Zhao ◽  
Yao Nan Wang ◽  
Ya Qi Sun ◽  
Jian Zhen Chen
Keyword(s):  
Wavelet Transform ◽  
3D Reconstruction ◽  
Wavelet Packet ◽  
Three Dimensional ◽  
Reconstruction Algorithm ◽  
Shape From Shading ◽  
Wavelet Packet Transform ◽  
Reconstruction Method ◽  
Human Face ◽  
Single Image

Human face three-dimensional (3D) reconstruction is a challenging problem. In this paper, we propose a human face fast- 3D- reconstruction method based on image processing with a single image. Shape from shading (SFS) is chosen to reconstruct the human face. First, SFS theory is introduced. It has the advantage of fast 3D reconstruction and only need a single image. Secondly, because the noise will affect the 3D reconstruction result greatly, wavelet transform and wavelet packet transform are introduced and used in image denoising respectively. The experiment has shown that the method based on wavelet transform produces the best denoising result than wavelet packet transform. At last, a human face 3D reconstruction algorithm based on a single image is proposed. The experimental results show that a human face 3D model can be reconstructed in fast by proposed algorithm.

A Novel Approach for Delaunay 3D Reconstruction with a Comparative Analysis in the Light of Applications

2001 ◽  
Vol 20 (2) ◽  
pp. 161-174 ◽  
Author(s):  
L. Nonato ◽  
R. Minghim ◽  
M. C. F. Oliveira ◽  
G. Tavares
Keyword(s):  
Comparative Analysis ◽  
3D Reconstruction ◽  
Novel Approach

3D reconstruction and positioning of surface features based on a monocular camera and geometric constraints

2021 ◽  
Vol 61 (6) ◽  
pp. C27
Author(s):  
Guanyu Hou ◽  
Weibin Zhang ◽  
Bin Wu ◽  
Rongfang He
Keyword(s):  
3D Reconstruction ◽  
Geometric Constraints ◽  
Surface Features ◽  
Monocular Camera
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