scholarly journals Real-Time Free-viewpoint Video Generation Based on 3D Shape Reconstruction for High-fidelity Video Generation

2007 ◽  
Vol 61 (2) ◽  
pp. 237-240
Author(s):  
Megumu Ueda ◽  
Rui Nabeshima ◽  
Daisaku Arita ◽  
Rin-ichiro Taniguchi
Keyword(s):  
Real Time ◽  
Shape Reconstruction ◽  
High Fidelity ◽  
3D Shape ◽  
3D Shape Reconstruction ◽  
Free Viewpoint Video

Virtual mirror based on 3D-shape reconstruction and real-time face tracking

2005 ◽  
Author(s):  
Takao Makino ◽  
Toshiya Nakaguchi ◽  
Norimichi Tsumura ◽  
Yoichi Miyake
Keyword(s):  
Real Time ◽  
Shape Reconstruction ◽  
Face Tracking ◽  
3D Shape ◽  
3D Shape Reconstruction

scholarly journals Real-Time Dynamic 3D Shape Reconstruction with SWIR InGaAs Camera

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 521 ◽  
Author(s):  
Cheng Fei ◽  
Yanyang Ma ◽  
Shan Jiang ◽  
Junliang Liu ◽  
Baoqing Sun ◽  
...  
Keyword(s):  
Real Time ◽  
Maximum Error ◽  
Short Wave ◽  
Shape Reconstruction ◽  
Frame Rate ◽  
Depth Information ◽  
Time Dynamic ◽  
3D Shape ◽  
3D Shape Reconstruction ◽  
Low Illumination

In this paper, a real-time, dynamic three-dimensional (3D) shape reconstruction scheme based on the Fourier-transform profilometry (FTP) method is achieved with a short-wave infrared (SWIR) indium gallium arsenide (InGaAs) camera for monitoring applications in low illumination environments. A SWIR 3D shape reconstruction system is built for generating and acquiring the SWIR two-dimensional (2D) fringe pattern of the target. The depth information of the target is reconstructed by employing an improved FTP method, which has the advantages of high reconstruction accuracy and speed. The maximum error in depth for static 3D shape reconstruction is 1.15 mm for a plastic model with a maximum depth of 36 mm. Meanwhile, a real-time 3D shape reconstruction with a frame rate of 25 Hz can be realized by this system, which has great application prospects in real-time dynamic 3D shape reconstruction, such as low illumination monitoring. In addition, for real-time dynamic 3D shape reconstruction, without considering the edge areas, the maximum error in depth among all frames is 1.42 mm for a hemisphere with a depth of 35 mm, and the maximum error of the average of all frames in depth is 0.52 mm.

scholarly journals Shape Registration with Learned Deformations for 3D Shape Reconstruction from Sparse and Incomplete Point Clouds

2021 ◽  
pp. 102228
Author(s):  
Xiang Chen ◽  
Nishant Ravikumar ◽  
Yan Xia ◽  
Rahman Attar ◽  
Andres Diaz-Pinto ◽  
...  
Keyword(s):  
Point Clouds ◽  
Shape Reconstruction ◽  
3D Shape ◽  
Shape Registration ◽  
3D Shape Reconstruction

scholarly journals A Divide et Impera Approach for 3D Shape Reconstruction from Multiple Views

2020 ◽  
Author(s):  
Riccardo Spezialetti ◽  
David Joseph Tan ◽  
Alessio Tonioni ◽  
Keisuke Tateno ◽  
Federico Tombari
Keyword(s):  
Shape Reconstruction ◽  
Multiple Views ◽  
3D Shape ◽  
3D Shape Reconstruction
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