{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/91084"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/91084","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Sparkle vision : seeing the world through random specular microfacets","abstract":"This thesis studies the problem of reproducing the world lighting from a single image of an object covered with random specular microfacets on the surface. Such a reflector can be interpreted as a randomized mapping from the lighting to the image. This intrinsic randomness makes it challenging for humans to interpret the image of a specular surface. We propose a system to solve it algorithmically and demonstrate how a simple yet reliable method can calibrate the proposed system and do the inference. The success of such system relies on accurate exposure of the specular surfaces. However, such objects have very distinguished optical properties compared with both diffuse surfaces and smooth specular objects like metals. So we design a special imaging system to robustly and effectively photograph them. Finally we conduct experiments to verify the correctness of our model assumptions and prove the effectiveness of our pipeline.","abstract_html":"This thesis studies the problem of reproducing the world lighting from a single image of an object covered with random specular microfacets on the surface. Such a reflector can be interpreted as a randomized mapping from the lighting to the image. This intrinsic randomness makes it challenging for humans to interpret the image of a specular surface. We propose a system to solve it algorithmically and demonstrate how a simple yet reliable method can calibrate the proposed system and do the inference. The success of such system relies on accurate exposure of the specular surfaces. However, such objects have very distinguished optical properties compared with both diffuse surfaces and smooth specular objects like metals. So we design a special imaging system to robustly and effectively photograph them. Finally we conduct experiments to verify the correctness of our model assumptions and prove the effectiveness of our pipeline.","abstract_has_math":false,"creators":["Zhang, Zhengdong, Ph.D. Massachusetts Institute of Technology"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science","school":null,"contributors":[],"advisors":["Edward H. Adelson."],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014","date_published":"2014","updated_at":"2026-07-22T22:21:38Z","subjects":["Electrical Engineering and Computer Science."],"languages":["eng"],"rights":["M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission."],"rights_urls":["http://dspace.mit.edu/handle/1721.1/7582"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/1721.1/91084","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Edward H. Adelson."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. 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This intrinsic randomness makes it challenging for humans to interpret the image of a specular surface. We propose a system to solve it algorithmically and demonstrate how a simple yet reliable method can calibrate the proposed system and do the inference. The success of such system relies on accurate exposure of the specular surfaces. However, such objects have very distinguished optical properties compared with both diffuse surfaces and smooth specular objects like metals. So we design a special imaging system to robustly and effectively photograph them. Finally we conduct experiments to verify the correctness of our model assumptions and prove the effectiveness of our pipeline."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["S.M. in Computer Science and Engineering"]},{"key":"dc:title","label":"Title","values":["Sparkle vision : seeing the world through random specular microfacets"]}]}],"canonical_facts":{"dc:contributor.advisor":["Edward H. Adelson."],"dc:contributor.department":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science"],"dc:contributor.other":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science."],"dc:creator":["Zhang, Zhengdong, Ph.D. Massachusetts Institute of Technology"],"dc:date.accessioned":["2014-10-21T17:25:10Z"],"dc:date.available":["2014-10-21T17:25:10Z"],"dc:date.issued":["2014"],"dc:description":["Thesis: S.M. in Computer Science and Engineering, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.","21","Cataloged from PDF version of thesis.","Includes bibliographical references (pages 57-58)."],"dc:description.abstract":["This thesis studies the problem of reproducing the world lighting from a single image of an object covered with random specular microfacets on the surface. Such a reflector can be interpreted as a randomized mapping from the lighting to the image. This intrinsic randomness makes it challenging for humans to interpret the image of a specular surface. We propose a system to solve it algorithmically and demonstrate how a simple yet reliable method can calibrate the proposed system and do the inference. The success of such system relies on accurate exposure of the specular surfaces. However, such objects have very distinguished optical properties compared with both diffuse surfaces and smooth specular objects like metals. So we design a special imaging system to robustly and effectively photograph them. Finally we conduct experiments to verify the correctness of our model assumptions and prove the effectiveness of our pipeline."],"dc:description.degree":["S.M. in Computer Science and Engineering"],"dc:identifier.uri":["http://hdl.handle.net/1721.1/91084"],"dc:language.iso":["eng"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission."],"dc:rights.uri":["http://dspace.mit.edu/handle/1721.1/7582"],"dc:subject":["Electrical Engineering and Computer Science."],"dc:title":["Sparkle vision : seeing the world through random specular microfacets"],"dc:type":["Thesis"]},"updated_at":"2026-07-22T22:21:38Z"}