{"id":{"repo_id":"regina","oai_identifier":"oai:uregina.scholaris.ca:10294/3547"},"canonical_url":"https://search.dev.ndltd.org/etd/regina/oai:uregina.scholaris.ca:10294/3547","repository":{"repo_id":"regina","name":"University of Regina","base_url":"https://uregina.scholaris.ca/server/oai/request"},"display":{"title":"Comparison of Three Dimensional Measurement Accuracy Using Stereo Vision","abstract":"The stereo vision system has been widely used in recent years. The imaging process of a camera consists in projection from a three dimensional world to a two dimensional image in which one dimension of information has been lost. A vision system that consists of two cameras can use the implicit geometry constraint between the images to recover the three dimensional information. Thus, the stereo vision system can be used as a measuring tool. A few applications have been reported and some of them are included by the literature review. In this thesis, two parameters of the stereovision system have been used to test the measuring results: the distance between the cameras and the distance between the cameras and the object. Experimental results show that when the object is close to the cameras (about 912mm), three dimensional measurement has relatively small error. The error increases when the distance becomes larger. Experiments also verify that the larger the distance between the cameras (within the tested range), the better the measuring results, except for the measurements along the depth direction. A quantitative analysis is used to analyze the measuring sensitivity to the movement of the corner point. It shows that measurement along the axis is affected the least. The comparison also verifies that when the distance between the cameras becomes larger, the system becomes less sensitive to the small movement of the corner point.","abstract_html":"The stereo vision system has been widely used in recent years. The imaging process of a camera consists in projection from a three dimensional world to a two dimensional image in which one dimension of information has been lost. A vision system that consists of two cameras can use the implicit geometry constraint between the images to recover the three dimensional information. Thus, the stereo vision system can be used as a measuring tool. A few applications have been reported and some of them are included by the literature review. In this thesis, two parameters of the stereovision system have been used to test the measuring results: the distance between the cameras and the distance between the cameras and the object. Experimental results show that when the object is close to the cameras (about 912mm), three dimensional measurement has relatively small error. The error increases when the distance becomes larger. Experiments also verify that the larger the distance between the cameras (within the tested range), the better the measuring results, except for the measurements along the depth direction. A quantitative analysis is used to analyze the measuring sensitivity to the movement of the corner point. It shows that measurement along the axis is affected the least. The comparison also verifies that when the distance between the cameras becomes larger, the system becomes less sensitive to the small movement of the corner point.","abstract_has_math":false,"creators":["Peng, Jinglin"],"institution":"Faculty of Graduate Studies and Research, University of Regina","degree_name":"Master of Applied Science (MASc)","degree_level":"Master's","degree_discipline":"Engineering - Electronic Systems","degree_department":null,"school":null,"contributors":[],"advisors":["Paranjape, Raman","Mehrandezh, Mehran"],"committee_chairs":[],"committee_members":["Laforge, Paul"],"year":2011,"date_issued":"2011-11","date_published":"2011-11","updated_at":"2026-07-24T04:03:43Z","subjects":[],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.doi","label":"DOI","values":["https://doi.org/10.82465/4668"],"render_values":[{"text":"https://doi.org/10.82465/4668","href":"https://doi.org/10.82465/4668","code":true}]}]},"links":{"outbound_url":"https://hdl.handle.net/10294/3547","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Paranjape, Raman","Mehrandezh, Mehran"]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Laforge, Paul"]},{"key":"dc:creator","label":"Author","values":["Peng, Jinglin"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2012-08-30T15:05:49Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2012-08-30T15:05:49Z"]},{"key":"dc:date.issued","label":"Date","values":["2011-11"]},{"key":"dc:publisher","label":"Institution","values":["Faculty of Graduate Studies and Research, University of Regina"]},{"key":"dc:type","label":"Dc Type","values":["master thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Engineering - Electronic Systems"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Master's"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Applied Science (MASc)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Faculty of Graduate Studies and Research, University of Regina"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.doi","label":"DOI","values":["https://doi.org/10.82465/4668"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10294/3547"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["A Thesis Submitted to the Faculty of Graduate Studies and Research In Partial Fulfillment of the Requirements for the Degree of Master of Applied Science in Electronic Systems Engineering, University of Regina. vii, 113 l."]},{"key":"dc:description.abstract","label":"Abstract","values":["The stereo vision system has been widely used in recent years. The imaging process of a camera consists in projection from a three dimensional world to a two dimensional image in which one dimension of information has been lost. A vision system that consists of two cameras can use the implicit geometry constraint between the images to recover the three dimensional information. Thus, the stereo vision system can be used as a measuring tool. A few applications have been reported and some of them are included by the literature review. In this thesis, two parameters of the stereovision system have been used to test the measuring results: the distance between the cameras and the distance between the cameras and the object. Experimental results show that when the object is close to the cameras (about 912mm), three dimensional measurement has relatively small error. The error increases when the distance becomes larger. Experiments also verify that the larger the distance between the cameras (within the tested range), the better the measuring results, except for the measurements along the depth direction. A quantitative analysis is used to analyze the measuring sensitivity to the movement of the corner point. It shows that measurement along the axis is affected the least. The comparison also verifies that when the distance between the cameras becomes larger, the system becomes less sensitive to the small movement of the corner point."]},{"key":"dc:title","label":"Title","values":["Comparison of Three Dimensional Measurement Accuracy Using Stereo Vision"]}]}],"canonical_facts":{"dc:contributor.advisor":["Paranjape, Raman","Mehrandezh, Mehran"],"dc:contributor.committeemember":["Laforge, Paul"],"dc:creator":["Peng, Jinglin"],"dc:date.accessioned":["2012-08-30T15:05:49Z"],"dc:date.available":["2012-08-30T15:05:49Z"],"dc:date.issued":["2011-11"],"dc:description":["A Thesis Submitted to the Faculty of Graduate Studies and Research In Partial Fulfillment of the Requirements for the Degree of Master of Applied Science in Electronic Systems Engineering, University of Regina. vii, 113 l."],"dc:description.abstract":["The stereo vision system has been widely used in recent years. The imaging process of a camera consists in projection from a three dimensional world to a two dimensional image in which one dimension of information has been lost. A vision system that consists of two cameras can use the implicit geometry constraint between the images to recover the three dimensional information. Thus, the stereo vision system can be used as a measuring tool. A few applications have been reported and some of them are included by the literature review. In this thesis, two parameters of the stereovision system have been used to test the measuring results: the distance between the cameras and the distance between the cameras and the object. Experimental results show that when the object is close to the cameras (about 912mm), three dimensional measurement has relatively small error. The error increases when the distance becomes larger. Experiments also verify that the larger the distance between the cameras (within the tested range), the better the measuring results, except for the measurements along the depth direction. A quantitative analysis is used to analyze the measuring sensitivity to the movement of the corner point. It shows that measurement along the axis is affected the least. 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