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Description
Title: | Predicting object occupancy on the floor from RGBD images of indoor scenes |
Author(s): | Bhobe, Sujay |
Advisor(s): | Hoiem, Derek W. |
Department / Program: | Electrical & Computer Eng |
Discipline: | Electrical & Computer Engr |
Degree Granting Institution: | University of Illinois at Urbana-Champaign |
Degree: | M.S. |
Genre: | Thesis |
Subject(s): | object occupancy
graph cuts alpha expansion label prediction overhead view scene understanding computer vision |
Abstract: | 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. |
Issue Date: | 2013-05-24 |
URI: | http://hdl.handle.net/2142/44195 |
Rights Information: | Copyright 2013 Sujay Uday Bhobe |
Date Available in IDEALS: | 2013-05-24 |
Date Deposited: | 2013-05 |
This item appears in the following Collection(s)
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Dissertations and Theses - Electrical and Computer Engineering
Dissertations and Theses in Electrical and Computer Engineering -
Graduate Dissertations and Theses at Illinois
Graduate Theses and Dissertations at Illinois