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Keynote Speakers

Prof. Olivier Lezoray
University of Caen, France
Title Improvements of Exemplar-based Image Inpainting
Abstract Many contributions have been proposed to the inpainting problem in images, i.e., recovering regions corresponding to lost parts or partially occluded objects in images. The main application of inpainting concerns image edition to remove objects in photo editing or movie postproduction. Exemplar-based methods have proven their efficiency for the reconstruction of missing parts in a digital image. Indeed, textures as well as local geometry are often very well restored by such methods. Despite these advances, it is not uncommon to get visible artifacts in the parts of the images that have been resynthesized. Mostly, these artifacts take the form of discontinuities between synthetized patches that have been copied and pasted in nearby regions, but from very different source locations. In this talk, I will present some improvements we have proposed to enhance the visual results produced by exemplar-based inpainting techniques. First we proposed to improve the reference state-of-the-art algorithm of Criminisi et al by proposing both a tensor-based data term for a better selection of pixel candidates to fill in, and a fast patch lookup strategy to ensure a better global coherence of the reconstruction. Then, to cope with the problem block-effect artifacts, we propose a tensor-guided spatial blending that strongly reduces the typical block-effect artifacts, while preserving the sharpness of synthesized structures and textures. Finally we consider the adaptation of our inpainting algorithm to video inpainting and depth-guided image inpainting.
Prof. Chengyin Wang
Yangzhou University, China
Title Highly Efficient Solar Water Disinfection: Design, Preparation and Applications
Abstract Renewable solar energy can be used all over the world for water purification. Employing indirect radical oxygen species generated form photocatalytic reactions emerged to be a promising approach. However, dissolved oxygen, which is only slightly soluble in water, restricted the generation speed via oxygen reduction reaction. Here in, a highly-efficient metal-free nano-coating for solar water disinfection was prepared by assembling edge-oxygenous-functionalized graphitic carbon nitride nanosheets, which showed a bacteria inactivation of > 99.9999 % in only 30 min and twenty-fold first-order disinfection rate compared with the most efficient previously reported carbon nitride based photocatalyst. The efficiently exposed carboxyl (-COOH) and carbonyl (-C=O) at the edge of the carbon nitride nanosheets were firstly proved to accelerate hydrogen peroxide (H2O2) via water oxidation reaction pathway with tremendous activity. Moreover, a fixed bed reactor modified by the nano-coating firstly achieved bacteria inactivation in the flowing water. The presented water oxidation reaction cannot only be employed by carbon-nitride based photocatalysts, but also other photocatalysts in which peroxides usually poison oxygen evolution reactions.
Prof. Shiyuan Yang
Kyushu Institute of Technology, Japan
Title New Trend of LED Position Detection for Indoor Applications
Abstract Position detection technologies are widely used such as autonomous robot, self-driving, automatic guided vehicles, etc. GPS (Global Positioning System) position measurement is a typical method for position detection, but it is difficult for indoor applications. There are a lot of methods for indoor position detection, for example, magnetic induction method, position detection learning system, and optical position detection system. The magnetic induction method is convenient but needs cost for repairing and route changing. The position detection learning system needs high performance computer and position detection accuracy is low. The optical position detection system has high detection accuracy but it is difficult for optical setting. In addition, the cost of transmitter and receiver becomes expensive for wide area. A new approach of optical position detection system is introduced that using the ceiling LED (Light Emitting Diode) lights and a PSD (Position Sensitive Detector). The general LED lights are sine-waved with different frequencies and the two-dimensional PSD detects the position of LED lights of different frequencies. Using the information of different LED lights, the position of the PSD can be measured. It has high detection accuracy and easy for route changing. Some examples are concerned for indoor applications.