{"id":{"repo_id":"cuny","oai_identifier":"oai:academicworks.cuny.edu:cc_etds_theses-1189"},"canonical_url":"https://search.dev.ndltd.org/etd/cuny/oai:academicworks.cuny.edu:cc_etds_theses-1189","repository":{"repo_id":"cuny","name":"City University of New York - City College","base_url":"https://academicworks.cuny.edu/do/oai/"},"display":{"title":"3D Hallway Modeling Using a Single Image","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.\"","abstract_html":""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."","abstract_has_math":false,"creators":["Olmschenk, Gregory M."],"institution":null,"degree_name":"Master of Science (M.S.)","degree_level":"Thesis","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013-01-01T08:00:00Z","date_published":"2013-01-01T08:00:00Z","updated_at":"2026-07-24T01:56:40Z","subjects":["Computer Sciences","3D Modeling","Visual Impairment","Physical Sciences and Mathematics"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://academicworks.cuny.edu/cc_etds_theses/190","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Olmschenk, Gregory M."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (M.S.)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Computer Sciences","3D Modeling","Visual Impairment","Physical Sciences and Mathematics"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://academicworks.cuny.edu/cc_etds_theses/190"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["\"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.\""]},{"key":"dc:title","label":"Title","values":["3D Hallway Modeling Using a Single Image"]}]}],"canonical_facts":{"dc:creator":["Olmschenk, Gregory M."],"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.\""],"dc:identifier":["https://academicworks.cuny.edu/cc_etds_theses/190"],"dc:subject":["Computer Sciences","3D Modeling","Visual Impairment","Physical Sciences and Mathematics"],"dc:title":["3D Hallway Modeling Using a Single Image"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["Master of Science (M.S.)"]},"updated_at":"2026-07-24T01:56:40Z"}