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Many image and signal processing techniques have been appliedto medical and health care applications in recent years. In this paper,we present a robust signal processing approach that can be used tosolve the correspondence problem for an embedded stereo vision sensorto provide real-time visual guidance to the visually impaired. This approachis based on our new one-dimensional (1D) spline-based genetic algorithm to matchsignals. The algorithm processes image data lines as 1D signals to generatea dense disparity map, from which 3D information can be extracted. With recentadvances in electronics technology, this 1D signal matching technique can beimplemented and executed in parallel in hardware such as field-programmablegate arrays (FPGAs) to provide real-time feedback about the environment to theuser. In order to complement (not replace) traditional aids for the visuallyimpaired such as canes and Seeing Eyes dogs, vision systems that provideguidance to the visually impaired must be affordable, easy to use, compact,and free from attributes that are awkward or embarrassing to the user. Ã¢Â€ÂœSeeingEye Glasses,Ã¢Â€Â an embedded stereo vision system utilizing our new algorithm,meets all these requirements

eurasip journal on advances in signal processing

Hardware Implementation of a Spline-Based Genetic Algorithm for Embedded Stereo Vision Sensor Providing Real-Time Visual Guidance to the Visually Impaired