Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Design and development of an indoor navigation and object identification system for the blind
Assets '04 Proceedings of the 6th international ACM SIGACCESS conference on Computers and accessibility
A wearable system for mobility improvement of visually impaired people
The Visual Computer: International Journal of Computer Graphics
Search Strategies of Visually Impaired Persons Using a Camera Phone Wayfinding System
ICCHP '08 Proceedings of the 11th international conference on Computers Helping People with Special Needs
Wearable obstacle avoidance electronic travel aids for blind: a survey
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Designing a virtual environment to evaluate multimodal sensors for assisting the visually impaired
ICCHP'12 Proceedings of the 13th international conference on Computers Helping People with Special Needs - Volume Part II
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An accurate 3D map, automatically generated in real-time from a camera-based stereovision system, is able to assist blind or visually impaired people to obtain correct perception and recognition of the surrounding objects and environment so that they can move safely. In this paper, a segmentation-based stereovision approach is proposed to rapidly obtain accurate 3D estimations of man-made scenes, both indoor and outdoor, with largely textureless areas and sharp depth changes. The new approach takes advantage of the fact that many man-made objects in an urban environment consist of planar surfaces. The final outcome of the system is not just an array of individual 3D points. Instead, the 3D model is built in a geometric representation of plane parameters, with geometric relations among different planar surfaces. Based on this 3D model, algorithms can be developed for traversable path planning, obstacle detection and object recognition for assisting the blind in urban navigation.