Aural imaging from 3D vision
Name
83985826-MIT.pdf
Description
Full printable version
Size
3.98 MB
Format
Adobe PDF
Checksum (MD5)
c105e664f4d121a51c41bb7a4da384d0
Author(s)
Vicenti, Jasper Fourways
Advisor(s)
David Demirdjian.
Alternative Title
Aural imaging from three dimension vision
Date Issued
2006
Publisher
Massachusetts Institute of Technology
Abstract
Dense stereo maps have many useful applications in computer vision. They can help in performing such tasks as background separation, segmentation, and object recognition. Despite the continued exponential advances in the computational capacity of microprocessors, current personal computers are limited in their ability to adequately solve the dense stereo vision problem in realtime. Modern processors now contain a SIMD instruction set architecture that can provide substantial improvements in performance when working with specific data types. This program demonstrates a stereo vision algorithm that implements commonly known methods in computer vision and takes advantage of the Altivec instruction set to achieve realtime performance. Once the stereo data has been processed, the depth map that is produced can be used to provide an additional dimension of data to the user. The software demonstrates a possible use for this data, as an aural aid to people that are blind or vision impaired. The system uses the depth information to identify obstacles in a user's path and alert the user with aural feedback.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
Includes bibliographical references (p. 55-56).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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