Point–Based Registration Assuming Affine Motion

2000 ◽  
pp. 329-338
Author(s):  
Attila Tanács ◽  
Gábor Czédli ◽  
Kálmán Palágyi ◽  
Attila Kuba
Keyword(s):  
Affine Motion

An Improved Framework of Affine Motion Compensation in Video Coding

2019 ◽  
Vol 28 (3) ◽  
pp. 1456-1469 ◽  
Author(s):  
Kai Zhang ◽  
Yi-Wen Chen ◽  
Li Zhang ◽  
Wei-Jung Chien ◽  
Marta Karczewicz
Keyword(s):  
Video Coding ◽  
Motion Compensation ◽  
Affine Motion

scholarly journals On the existence of projective affine motion in a $W$-recurrent Finsler space

2000 ◽  
Vol 31 (1) ◽  
pp. 71-78
Author(s):  
A. Kumar ◽  
H. S. Shulka ◽  
R. P. Tripathi
Keyword(s):  
Finsler Space ◽  
Point Transformation ◽  
Affine Motion

The paper is devoted to study the properties of a $W$-$R$ $F_n$ space admitting an infinitesimal point transformation $\overline x^i=x^i+v^i(x)dt$ which satisfies the condition $L_v\lambda_s=0$.

Feature-Based Affine Motion Estimation for Superresolution of a Region of Interest

2013 ◽  
pp. 118-137
Author(s):  
Sung Hyun Kim ◽  
Rae-Hong Park ◽  
Seungjoon Yang ◽  
Hwa-Young Kim
Keyword(s):  
Motion Estimation ◽  
Convex Sets ◽  
Interpolation Method ◽  
Digital Camera ◽  
Region Of Interest ◽  
Noise Model ◽  
Reference Image ◽  
Multiple Images ◽  
Affine Motion ◽  
Feature Based

This chapter presents an interpolation method of low-computation for a Region Of Interest (ROI) using multiple low-resolution images of the same scene. Interpolation methods using multiple images require the accurate motion information between the reference image of interpolation and the other images. Sometimes complex local motions applied to the entire images are estimated incorrectly, yielding seriously degraded interpolation results. The authors apply the proposed Superresolution (SR) method, which employs a simple global motion model, only to the ROI that contains important information of the scene. The ROIs extracted from multiple images are assumed to have simple global motions. At first, using a mean absolute difference measure, they extract the regions from the multiple images that are similar to the selected ROI in the reference image of interpolation and use feature points to estimate the affine motion parameters. The authors apply the Projection Onto Convex Sets (POCS)-based method to the ROI using the estimated motion, simplify the iterative computation of the whole system, and use an edge-preserving smoothing filter to reduce the distortion caused by additive noise. In experiments, they acquire test image sets with a hand-held digital camera and use a Gaussian noise model. Experimental results show that the feature-based Motion Estimation (ME) is accurate and reducing the computational load of the ME step is efficient in terms of the computational complexity. It is also shown that the SR results using the proposed method are remarkable even when input images contain complex motions and a large amount of noise. The proposed POCS-based SR algorithm can be applied to digital cameras, portable camcorders, and so on.

AFFINE MOTION IN THE RECURRENT SAK*n (I)

1984 ◽  
Vol 17 (2) ◽  
Author(s):  
S. Fudali ◽  
L. Kaczmarek ◽  
M. Kleczek
Keyword(s):  
Affine Motion

scholarly journals Fast Affine Motion Estimation for Versatile Video Coding (VVC) Encoding

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 158075-158084 ◽  
Author(s):  
Sang-Hyo Park ◽  
Je-Won Kang
Keyword(s):  
Motion Estimation ◽  
Video Coding ◽  
Affine Motion
Sign in / Sign up

Export Citation Format

Share Document