Computer Vision, Imaging and Computer Graphics - Theory and Applications

2014 ◽  
Keyword(s):  
Computer Vision ◽  
Computer Graphics

Through the looking glass: the synthesis of computer graphics and computer vision

1999 ◽  
Vol 6 (3) ◽  
pp. 8-11 ◽  
Author(s):  
A. Rockwood ◽  
J. McAndless
Keyword(s):  
Computer Vision ◽  
Computer Graphics ◽  
Looking Glass

Surface Reconstruction: Roles in the Field of Computer Vision and Computer Graphics

2021 ◽  
pp. 2250008
Author(s):  
Soumi Dhar ◽  
Shyamosree Pal
Keyword(s):  
Computer Vision ◽  
Image Analysis ◽  
Computer Graphics ◽  
Surface Reconstruction ◽  
Related Problem ◽  
Data Modeling ◽  
Mathematical Foundation ◽  
Volume Data ◽  
3D Computer Vision ◽  
Real Objects

Surface Reconstruction is the most potent aspect of 3D computer vision. It allows recapturing or imitating of the shape of real objects. It also provides sufficient knowledge regarding the mathematical foundation for rendering applications which are widely used for analyzing medical volume data, modeling, 3D interior designing, architectural designing. In our paper, we have mentioned various algorithms and approaches for surface reconstruction and their applications. Moreover, we have tried to emphasize the necessity of surface reconstruction for solving image analysis related problem.

Quaternion epipolar decomposition for camera pose identification and animation

2013 ◽  
Vol 21 (1) ◽  
Author(s):  
W. Skarbek ◽  
M. Tomaszewski
Keyword(s):  
Computer Vision ◽  
Measurement Error ◽  
Computer Graphics ◽  
Quadratic Form ◽  
Essential Matrix ◽  
Virtual Camera ◽  
Camera Systems ◽  
Camera Pose ◽  
Pose Identification ◽  
And Robotics

AbstractIn the literature of computer vision, computer graphics and robotics, the use of quaternions is exclusively related to 3D rotation representation and interpolation. In this research we found how epipoles in multi-camera systems can be used to represent camera poses in the quaternion domain. The rotational quaternion is decomposed in two epipole rotational quaternions and one z axis rotational quaternion. Quadratic form of the essential matrix is also related to quaternion factors. Thus, five pose parameters are distributed into three independent rotational quaternions resulting in measurement error separation at camera pose identification and greater flexibility at virtual camera animation. The experimental results refer to the design of free viewpoint television.

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