Improved Recursive Geodesic Distance Computation for Edge Preserving Filter

2017 ◽  
Vol 26 (8) ◽  
pp. 3696-3706 ◽  
Author(s):  
Mikhail G. Mozerov ◽  
Joost van de Weijer
Keyword(s):  
Geodesic Distance ◽  
Edge Preserving ◽  
Distance Computation

scholarly journals Salient Object Detection Based on Background Feature Clustering

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Kan Huang ◽  
Yong Zhang ◽  
Bo Lv ◽  
Yongbiao Shi
Keyword(s):  
Object Detection ◽  
Clustering Algorithm ◽  
Geodesic Distance ◽  
Saliency Map ◽  
Salient Object Detection ◽  
Salient Object ◽  
Edge Preserving ◽  
Feature Clustering ◽  
Background Distribution ◽  
Extensive Evaluation

Automatic estimation of salient object without any prior knowledge tends to greatly enhance many computer vision tasks. This paper proposes a novel bottom-up based framework for salient object detection by first modeling background and then separating salient objects from background. We model the background distribution based on feature clustering algorithm, which allows for fully exploiting statistical and structural information of the background. Then a coarse saliency map is generated according to the background distribution. To be more discriminative, the coarse saliency map is enhanced by a two-step refinement which is composed of edge-preserving element-level filtering and upsampling based on geodesic distance. We provide an extensive evaluation and show that our proposed method performs favorably against other outstanding methods on two most commonly used datasets. Most importantly, the proposed approach is demonstrated to be more effective in highlighting the salient object uniformly and robust to background noise.

Curvature-based anisotropic geodesic distance computation for  parametric and implicit surfaces

2009 ◽  
Vol 25 (8) ◽  
pp. 743-755 ◽  
Author(s):  
Joon-Kyung Seong ◽  
Won-Ki Jeong ◽  
Elaine Cohen
Keyword(s):  
Geodesic Distance ◽  
Implicit Surfaces ◽  
Distance Computation

Circle Approximations on Spheroids

2011 ◽  
Vol 64 (4) ◽  
pp. 739-749 ◽  
Author(s):  
Young Joon Ahn ◽  
Jian Cui ◽  
Christoph Hoffmann
Keyword(s):  
Approximation Method ◽  
Hausdorff Distance ◽  
Geodesic Distance ◽  
Approximation Error ◽  
The Other ◽  
Distance Computation ◽  
The Earth

We present an approximation method for geodesic circles on a spheroid. Our ap­proximation curve is the intersection of two spheroids whose axes are parallel, and it interpolates four points of the geodesic circle. Our approximation method has two merits. One is that the approximation curve can be obtained algebraically, and the other is that the approximation error is very small. For example, our approximation of a circle of radius 1000 km on the Earth has error 1·13 cm or less. We analyze the error of our approximation using the Hausdorff distance and confirm it by a geodesic distance computation.

scholarly journals Parallel and Scalable Heat Methods for Geodesic Distance Computation

2021 ◽  
Vol 43 (2) ◽  
pp. 579-594 ◽  
Author(s):  
Jiong Tao ◽  
Juyong Zhang ◽  
Bailin Deng ◽  
Zheng Fang ◽  
Yue Peng ◽  
...  
Keyword(s):  
Geodesic Distance ◽  
Distance Computation

scholarly journals Geodesic Distance Computation via Virtual Source Propagation

2021 ◽  
Vol 40 (5) ◽  
pp. 247-260
Author(s):  
P. Trettner ◽  
D. Bommes ◽  
L. Kobbelt
Keyword(s):  
Geodesic Distance ◽  
Virtual Source ◽  
Distance Computation

Edge-Preserving Error Diffusion for Multi-Toning Based on Dual Quantization

2017 ◽  
Vol 2017 (18) ◽  
pp. 123-129
Author(s):  
Takuma Kiyotomo ◽  
Keisuke Hoshino ◽  
Yuki Tsukano ◽  
Hiroki Kibushi ◽  
Takahiko Horiuchi
Keyword(s):  
Error Diffusion ◽  
Edge Preserving
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