2026-09-20T08:37:20Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/46598 2023-07-11 col_2142_8888 col_2142_5131 com_2142_8887 com_2142_234 com_2142_5130

Do, Minh N. Chidester, Benjamin Wilson 2014-01-16T17:55:37Z 2014-01-16T17:55:37Z 2013-12 2014-01-16T17:55:37Z 2013-12 The rising interest in immersive entertainment and enhanced image and video content, along with the development of stereo cameras for mobile platforms, motivates the presented evaluation of stereo matching algorithms for mobile devices. This work investigates this potential for stereo matching on a mobile device for real-time applications, in terms of computation time and quality of depth inference. Several algorithms are tested on an Android tablet housing a Tegra 3 processor using images captured from the on-board consumer-grade cameras. Despite distortions incurred by the lower quality cameras and the computational constraints of a tablet, results show that a simple block matching approach can perform reasonable inference at a rate of 10 frames-per-second. Other methods are shown to be too computationally demanding for real-time applications, as even the fastest alternative local method, using adaptive support weights, requires up to 20 seconds per frame on a 320x360 image. Results also show the impact of lower quality ``real-world'' images on inference performance on algorithms. Additionally, real-time stereo matching on a mobile device is applied to a novel application of assisting the visually impaired with navigation. A system is proposed using a simple block matching algorithm that infers the depth of the scene and communicates the presence of obstacles via sound to the user. The system is housed entirely within the mobile device, overcoming a primary hindrance of many users of assistive technology. The use of a mobile device also allows for an intuitive, interactive experience for the user with the depth information directly via the touch screen of the device. This system demonstrates the added functionality of real-time depth estimation on a mobile device and the potential for aiding the visually impaired with navigation. Item withdrawn by Laura Spradlin (lspradl2@illinois.edu) on 2013-12-13T15:24:43Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 10 concl.tex: 2055 bytes, checksum: 8cab52db2b67c84901401960bf4a9a38 (MD5) thesisrefs.bib: 40312 bytes, checksum: cb2bbd6a2d17aba69c1396132d73d4f1 (MD5) system.tex: 21093 bytes, checksum: b920bc4b629eeecea831b73cb3eb4752 (MD5) intro.tex: 9645 bytes, checksum: 9b1a50b0b5ef37db8cb6e03c76769419 (MD5) ack.tex: 1876 bytes, checksum: c654ffcb9b672d815bdb0f977e2dd066 (MD5) background.tex: 25828 bytes, checksum: 8cf18f8357f3f088f7118060526f053c (MD5) appl.tex: 10043 bytes, checksum: e62f48ba9e6297ea5e6f0ad523dac18d (MD5) abs.tex: 1873 bytes, checksum: 63d063f5a038c7cccf600895a67a9133 (MD5) ecethesis.tex: 5206 bytes, checksum: da5fcb696265492e4b9df5a023390760 (MD5) Chidester_Benjamin.pdf: 1117879 bytes, checksum: 3cd1129c4820c0ca3f3225cb2520cf93 (MD5) Made available in DSpace on 2014-01-16T17:55:37Z (GMT). No. of bitstreams: 11 Benjamin_Chidester.pdf: 1117879 bytes, checksum: 3cd1129c4820c0ca3f3225cb2520cf93 (MD5) concl.tex: 2055 bytes, checksum: 8cab52db2b67c84901401960bf4a9a38 (MD5) thesisrefs.bib: 40312 bytes, checksum: cb2bbd6a2d17aba69c1396132d73d4f1 (MD5) system.tex: 21093 bytes, checksum: b920bc4b629eeecea831b73cb3eb4752 (MD5) intro.tex: 9645 bytes, checksum: 9b1a50b0b5ef37db8cb6e03c76769419 (MD5) ack.tex: 1876 bytes, checksum: c654ffcb9b672d815bdb0f977e2dd066 (MD5) background.tex: 25828 bytes, checksum: 8cf18f8357f3f088f7118060526f053c (MD5) appl.tex: 10043 bytes, checksum: e62f48ba9e6297ea5e6f0ad523dac18d (MD5) abs.tex: 1873 bytes, checksum: 63d063f5a038c7cccf600895a67a9133 (MD5) ecethesis.tex: 5206 bytes, checksum: da5fcb696265492e4b9df5a023390760 (MD5) license.txt: 4068 bytes, checksum: 0f646e5b089e22cf0dcc6c1410f1877b (MD5) http://hdl.handle.net/2142/46598 en Copyright 2013 Benjamin Wilson Chidester stereo matching mobile devices visually impaired assistance Evaluation of stereo matching for mobile platforms with applications for assisting the visually impaired text Electrical & Computer Eng 1933 Electrical & Computer Engr 1200 University of Illinois at Urbana-Champaign Thesis M.S. MS:Electr & Computer Eng-UIUC 10KS1200MS