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Overview: The primary objective of this workshop is to serve as an impetus for new research directions focused on vision system designs that are based on synergistic combinations of neuro and computer vision. Over the past 40+ years, there has been considerable interest in “biologically inspired computer vision”, with an emphasis on developing computer vision systems which are based on or “inspired by” the current state of knowledge of biological vision systems. The objective of this workshop is substantially different in that we are particularly interested in identifying synergies between human and machine vision and potential “neural interfaces” that could be used to create hybrid vision systems. An additional focus of the workshop will be on rapid scene analysis and recognition. We will not be focusing on reasoning and higher level cognition, rather we will look at recognition in the "blink" of an eye, "flash" of a CCD, and the synergistic combination of these two for rapid visual recognition.



The participants will consist of invited leaders from research, industry, and funding agencies. Plenary presentations will be made available to students and researchers. The program will focus on three specific topic areas;

Area 1: Neuroscience and Neural Computing
Scene analysis and object recognition via decoding neural activity
Rapid scene recognition by human vision

Area 2: Neuro-Inspired Computer Vision
Computer models imitating neuro vision for object recognition
Parsing a scene: "salience" and "gist"
Large-scale scene/object recognition

Area 3: Hybrid Vision Systems
Synergistic combinations of human and computer vision
Applications of Hybrid Vision Systems
Bio-neural sensing instrumentation

The invited experts will be asked to participate in breakout sessions for discussing research challenges and identifying future directions. After the workshop, a final report will be produced to document the grand research challenges identified from the workshop. It will also include concrete recommendations of actions for NSF and other funding agencies.