Abstract
dc:description.abstract"Real-time, low-resource corridor reconstruction using a single consumer grade RGB camera is a powerful tool for allowing a fast, inexpensive solution to indoor mobility of a visually impaired person or a robot. The perspective and known geometry of a corridor is used to extract the important features of the image and create a 3D model from a single image. Multiple 3D models can be combined to increase confidence and provide a global 3D model. This paper presents our results on 3D corridor modeling using single images. First a simple but effective 3D corridor modeling approach is introduced which makes very few assumptions of the camera information. Second, a perspective based Hough transform algorithm is proposed to detect vertical lines in order to determine the edges of the corridor. Finally, issues in real-time implementation on a smartphone are discussed. Experimental results are provided to validate the proposed approach. Index Terms-- indoor modeling, vanishing point, visual impairment, perspective based Hough transform."
Degree
thesis:*- Name thesis:degree_name
- Master of Science (M.S.)
- Level thesis:degree_level
- Thesis
- Discipline thesis:degree_discipline
- Computer Science
- Year
- 2013
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Olmschenk, Gregory M.
Subjects
dc:subject × 4Identifiers
dc:identifier.*- Repository record dc:identifier
- https://academicworks.cuny.edu/cc_etds_theses/190
- OAI identifier oai:identifier
- oai:academicworks.cuny.edu:cc_etds_theses-1189