A search-and-validate method for face identification from single line drawings

Several studies have been made in finding the faces of an object depicted in a line drawing, but the problem has not been completely solved. Although existing methods can find the correct faces in most cases, there is no mechanism to ascertain that they are indeed correct, leaving the human user to...

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Main Authors: Leong, Mei Chee, Lee, Yong Tsui, Fang, Fen
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/107152
http://hdl.handle.net/10220/18036
http://dx.doi.org/10.1109/TPAMI.2013.82
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1071522019-12-06T22:25:46Z A search-and-validate method for face identification from single line drawings Leong, Mei Chee Lee, Yong Tsui Fang, Fen School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering Several studies have been made in finding the faces of an object depicted in a line drawing, but the problem has not been completely solved. Although existing methods can find the correct faces in most cases, there is no mechanism to ascertain that they are indeed correct, leaving the human user to do so. This paper uses a two-stage approach--find potential faces, then validate their correctness--to ensure that only correct faces are delivered ultimately. The face finding itself uses a double breadth-first search algorithm, which yields the shortest path, to find the potential faces. The basic premise is that the smallest faces found are more likely the correct ones. They serve as the "seed" potential faces, from which the algorithm proceeds to search for more faces. If the potential faces found satisfy the validation rules, then they are accepted as correct. Otherwise, the wrong potential faces are identified and removed, and new ones found in their place. The validation process is then repeated. The algorithm is fast and reliable, can deal with planar-faced manifold and nonmanifold objects, and can deliver the different results when a drawing has multiple interpretations. Our extensive tests show that the method can deal with most cases efficiently, including those that previous methods cannot solve. 2013-12-04T08:53:20Z 2019-12-06T22:25:46Z 2013-12-04T08:53:20Z 2019-12-06T22:25:46Z 2013 2013 Journal Article Leong, M. C., Lee, Y. T., & Fang, F. (2013). A search-and-validate method for face identification from single line drawings. IEEE transactions on pattern analysis and machine intelligence, 35(11), 2576-2591. 0162-8828 https://hdl.handle.net/10356/107152 http://hdl.handle.net/10220/18036 http://dx.doi.org/10.1109/TPAMI.2013.82 en IEEE transactions on pattern analysis and machine intelligence
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Mechanical engineering
spellingShingle DRNTU::Engineering::Mechanical engineering
Leong, Mei Chee
Lee, Yong Tsui
Fang, Fen
A search-and-validate method for face identification from single line drawings
description Several studies have been made in finding the faces of an object depicted in a line drawing, but the problem has not been completely solved. Although existing methods can find the correct faces in most cases, there is no mechanism to ascertain that they are indeed correct, leaving the human user to do so. This paper uses a two-stage approach--find potential faces, then validate their correctness--to ensure that only correct faces are delivered ultimately. The face finding itself uses a double breadth-first search algorithm, which yields the shortest path, to find the potential faces. The basic premise is that the smallest faces found are more likely the correct ones. They serve as the "seed" potential faces, from which the algorithm proceeds to search for more faces. If the potential faces found satisfy the validation rules, then they are accepted as correct. Otherwise, the wrong potential faces are identified and removed, and new ones found in their place. The validation process is then repeated. The algorithm is fast and reliable, can deal with planar-faced manifold and nonmanifold objects, and can deliver the different results when a drawing has multiple interpretations. Our extensive tests show that the method can deal with most cases efficiently, including those that previous methods cannot solve.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Leong, Mei Chee
Lee, Yong Tsui
Fang, Fen
format Article
author Leong, Mei Chee
Lee, Yong Tsui
Fang, Fen
author_sort Leong, Mei Chee
title A search-and-validate method for face identification from single line drawings
title_short A search-and-validate method for face identification from single line drawings
title_full A search-and-validate method for face identification from single line drawings
title_fullStr A search-and-validate method for face identification from single line drawings
title_full_unstemmed A search-and-validate method for face identification from single line drawings
title_sort search-and-validate method for face identification from single line drawings
publishDate 2013
url https://hdl.handle.net/10356/107152
http://hdl.handle.net/10220/18036
http://dx.doi.org/10.1109/TPAMI.2013.82
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