2026-09-18T22:00:47Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1178152022-08-17T17:02:56Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
William T. Freeman.
Zhang, Xiuming (Scientist in electrical engineering and computer science) Massachusetts Institute of Technology
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2018-09-17T14:50:48Z
2018-09-17T14:50:48Z
2018
2018
http://hdl.handle.net/1721.1/117815
1051460431
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 53-55).
We present a method for automatically visualizing complex human and object motion via 3D motion sculptures -- a representation that conveys the 3D structure swept by the human's body as it moves through space. Given only a monocular RGB video as input, our algorithm computes the motion sculpture by estimating the object's 3D geometry over time, and then renders the motion sculpture under different rendering styles such as sculpture material, scene lighting, and floor reflections. We develop a 3D-aware image-based rendering approach to insert motion sculptures into a synthetic scene or back into the original video. This results in high-quality artistic visualizations of motion. Because motion sculptures are 3D, they can be viewed from arbitrary viewpoints and even physically printed. As such, they may reveal space-time information that is undetected by the naked eyes and allow the viewer to interpret how different parts of the object interact over time. Our method automates the process of motion sculpture creation, making this manual process typically done only by professional artists accessible to novice users and applicable to standard videos. We show results on various scenes involving complex motions such as sports actions and dancing.
by Xiuming Zhang.
S.M.
55 pages
eng
Massachusetts Institute of Technology
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Motion sculptures : automating artistic visualization of shape and time
Automating artistic visualization of shape and time
Thesis
application/pdf
Publication
unknown
unknown
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<Abstract>We present a method for automatically visualizing complex human and object motion via 3D motion sculptures -- a representation that conveys the 3D structure swept by the human's body as it moves through space. Given only a monocular RGB video as input, our algorithm computes the motion sculpture by estimating the object's 3D geometry over time, and then renders the motion sculpture under different rendering styles such as sculpture material, scene lighting, and floor reflections. We develop a 3D-aware image-based rendering approach to insert motion sculptures into a synthetic scene or back into the original video. This results in high-quality artistic visualizations of motion. Because motion sculptures are 3D, they can be viewed from arbitrary viewpoints and even physically printed. As such, they may reveal space-time information that is undetected by the naked eyes and allow the viewer to interpret how different parts of the object interact over time. Our method automates the process of motion sculpture creation, making this manual process typically done only by professional artists accessible to novice users and applicable to standard videos. We show results on various scenes involving complex motions such as sports actions and dancing.</Abstract>
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