2026-09-21T19:43:04Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/44195 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Hoiem, Derek W. Bhobe, Sujay 2013-05-24T21:53:54Z 2013-05-24T21:53:54Z 2013-05 2013-05-24T21:53:54Z 2013-05 This thesis presents an approach to predict the occupied area on the floor in an image of an indoor scene. The goal is to be able to obtain navigable areas even in cluttered indoor environments. This algorithm could be used in the field of robotics where robots need to navigate through a room while being mindful of the surrounding objects. The results are quite close to the ground truth, as exemplified by the false positive, false negative, precision and recall rates. Using this algorithm improves the label predictions. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2013-04-22T17:57:56Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Bhobe_Sujay_MS_Thesis.zip: 22828 bytes, checksum: f3c60303f9f6b4e5470a982c25e94adb (MD5) Bhobe_Sujay.pdf: 1521794 bytes, checksum: 713917eb99051349c24aab6a07993165 (MD5) Made available in DSpace on 2013-05-24T21:53:54Z (GMT). No. of bitstreams: 3 Sujay_Bhobe.pdf: 1521794 bytes, checksum: 713917eb99051349c24aab6a07993165 (MD5) Bhobe_Sujay_MSThesis_Files.zip: 24039 bytes, checksum: dcc264e5be236f22d5f6cba88d668a01 (MD5) license.txt: 4060 bytes, checksum: 6c16f827620e19456b74867ebc939654 (MD5) http://hdl.handle.net/2142/44195 en Copyright 2013 Sujay Uday Bhobe object occupancy graph cuts alpha expansion label prediction overhead view scene understanding computer vision Predicting object occupancy on the floor from RGBD images of indoor scenes text Electrical & Computer Eng 1933 Electrical & Computer Engr 1200 University of Illinois at Urbana-Champaign Thesis M.S. MS:Electr & Computer Eng-UIUC 10KS1200MS