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IEEE UIC Special Session

Visual Perception and Visual Computing

作者: 高峰 更新时间: 2017-04-02

  Introduction

The study of biological vision and machine vision share common history, and the findings from each field has enormously benefited the other. Vision science makes great progress in visual perception and neural science. On the other hand, as computation is becoming faster and cheaper, some vision tasks such as image understanding and object recognition, which humans are good at, have been rivaled by computers, especially with the aid of deep learning.

This special session is to reignite conversations between these two fields and to benefit research in the joint field. We encourage submissions that will be of potential cross-disciplinary interest to both human and computer vision. Research works connecting both visual perception and visual computing are particularly welcome.


Topic

  • Colour Perception
  • 3D Perception
  • Material Perception
  • Perceptual Models
  • Biology Inspired Computer Vision
  • Understanding of Human motions (action, gesture eye gaze etc.)
  • Face Perception and Recognition
  • Visual Perception and Visual Computing in Virtual Environment
  • Machine Learning for Visual Perception and Visual Computing

    Important Dates

    Paper Submission April 25, 2017
    Paper Decision Notification May 10, 2017
    Final Manuscript Due June 10, 2017
    Conference Days August 4-8, 2017

    General Co-Chairs:

    Lin Qi, Ocean University of China, China
    Junyu Dong, Ocean University of China, China
    Hui Yu, University of Portsmouth, UK

    Program Committee Members:

    Lin Qi, Ocean University of China, China
    Yue Ming, Beijing Jiaotong University, China
    Hui Yu, University of Portsmouth, UK
    Junyu Dong, Ocean University of China, China
    Xinghui Dong, University of Manchester, UK
    Hansheng Lei, University of Texas, Rio Grande Valley, US
    Dongjoe Shin, University of Portsmouth

    Accepted papers must contain novel results. Results can be either theoretical or empirical. Results will be judged on the degree to which they have been objectively established or their potential for scientific and technological impact. All papers need to be submitted electronically through submission link.

    The materials presented in the papers should not be published or under submission elsewhere. Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press. At least one of the authors of any accepted paper is required to attend the conference.