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Recent advances in visual prostheses raise good hope for enhancement of late blind people performances in daily life tasks. Autonomy in mobility is a major factor of quality of life and ongoing researches aim to develop new image processing for environment representation and try to evaluate mobility performances. We present a novel approach for the generation of a scene representation devoted to mobility tasks, which may complement current prosthetic vision research. In this work, done in collaboration with low vision rehabilitation specialists, depth cues as well as contrast perception are made accessible through a composite representation. After presenting advantages and drawbacks of a scene representation based solely on captured depth or luminosity information, we introduce our method that combines both types of information in a unique representation based on a temporal scanning of depth layers.

Orientation and Mobility with Prosthetic Vision - Combination of Luminosity and Depth Information for Scene Representation