scholarly journals Balanced distributed coding of omnidirectional images

2008 ◽  
Author(s):  
Vijayaraghavan Thirumalai ◽  
Ivana Tosic ◽  
Pascal Frossard
Keyword(s):  
Distributed Coding ◽  
Omnidirectional Images

scholarly journals Symmetric distributed coding of stereo omnidirectional images

2008 ◽  
Vol 23 (5) ◽  
pp. 379-390 ◽  
Author(s):  
Vijayaraghavan Thirumalai ◽  
Ivana Tosic ◽  
Pascal Frossard
Keyword(s):  
Distributed Coding ◽  
Omnidirectional Images

Local vs. Distributed Coding

1989 ◽  
Vol 8 (2) ◽  
pp. 3-40 ◽  
Author(s):  
Simon Thorpe
Keyword(s):  
Distributed Coding

scholarly journals The Role of Global Appearance of Omnidirectional Images in Relative Distance and Orientation Retrieval

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3327
Author(s):  
Vicente Román ◽  
Luis Payá ◽  
Adrián Peidró ◽  
Mónica Ballesta ◽  
Oscar Reinoso
Keyword(s):  
Mobile Robotics ◽  
A Priori ◽  
Computational Cost ◽  
Relevant Information ◽  
Local Features ◽  
New Family ◽  
Lighting Conditions ◽  
Omnidirectional Images ◽  
Great Development

Over the last few years, mobile robotics has experienced a great development thanks to the wide variety of problems that can be solved with this technology. An autonomous mobile robot must be able to operate in a priori unknown environments, planning its trajectory and navigating to the required target points. With this aim, it is crucial solving the mapping and localization problems with accuracy and acceptable computational cost. The use of omnidirectional vision systems has emerged as a robust choice thanks to the big quantity of information they can extract from the environment. The images must be processed to obtain relevant information that permits solving robustly the mapping and localization problems. The classical frameworks to address this problem are based on the extraction, description and tracking of local features or landmarks. However, more recently, a new family of methods has emerged as a robust alternative in mobile robotics. It consists of describing each image as a whole, what leads to conceptually simpler algorithms. While methods based on local features have been extensively studied and compared in the literature, those based on global appearance still merit a deep study to uncover their performance. In this work, a comparative evaluation of six global-appearance description techniques in localization tasks is carried out, both in terms of accuracy and computational cost. Some sets of images captured in a real environment are used with this aim, including some typical phenomena such as changes in lighting conditions, visual aliasing, partial occlusions and noise.

scholarly journals Distortion-Aware Monocular Depth Estimation for Omnidirectional Images

2021 ◽  
Vol 28 ◽  
pp. 334-338
Author(s):  
Hong-Xiang Chen ◽  
Kunhong Li ◽  
Zhiheng Fu ◽  
Mengyi Liu ◽  
Zonghao Chen ◽  
...  
Keyword(s):  
Depth Estimation ◽  
Monocular Depth ◽  
Omnidirectional Images

An energy-efficient clustered distributed coding for large-scale wireless sensor networks

2013 ◽  
Vol 66 (2) ◽  
pp. 649-669 ◽  
Author(s):  
Yuexing Peng ◽  
Yonghui Li ◽  
Lei Shu ◽  
Wenbo Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Large Scale ◽  
Wireless Sensor ◽  
Distributed Coding

scholarly journals Distributed coding using punctured quasi-arithmetic codes for memory and memoryless sources

2009 ◽  
Author(s):  
Simon Malinowski ◽  
Xavi Artigas ◽  
Christine Guillemot ◽  
Luis Torres
Keyword(s):  
Distributed Coding ◽  
Arithmetic Codes
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