Using the orthographic projection model to approximate the perspective projection model for 3D facial reconstruction

Jin Yi Wu; Jenn Jier James Lien

doi:10.1007/978-3-540-77129-6_41

Using the orthographic projection model to approximate the perspective projection model for 3D facial reconstruction

Jin Yi Wu, Jenn Jier James Lien

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This study develops a 3D facial reconstruction system, which consists of five modules, using the orthographic projection model to approximate the perspective projection model. The first module identifies a number of feature points on the face and tracks these feature points over a sequence of facial images by the optical flow technique. The second module applies the factorization method to the orthographic model to reconstruct a 3D human face. The facial images are acquired using a pinhole camera, which are based on a perspective projection model. However, the face is reconstructed using an orthographic projection model. To compensate for the difference between these two models, the third module implements a simple and efficient method for approximating the perspective projection model. The fourth module overcomes the missing point problem, commonly arising in 3D reconstruction applications. Finally, the fifth module implements a smoothing process for the 3D surface by interpolating additional vertices.

Original language	English
Title of host publication	Advances in Image and Video Technology - Second Pacific Rim Symposium, PSIVT 2007, Proceedings
Publisher	Springer Verlag
Pages	462-473
Number of pages	12
ISBN (Print)	9783540771289
DOIs	https://doi.org/10.1007/978-3-540-77129-6_41
Publication status	Published - 2007
Event	2nd Pacific Rim Symposium on Image and Video Technology, PSIVT 2007 - Santiago, Chile Duration: 2007 Dec 17 → 2007 Dec 19

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4872 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd Pacific Rim Symposium on Image and Video Technology, PSIVT 2007
Country	Chile
City	Santiago
Period	07-12-17 → 07-12-19

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-540-77129-6_41

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Wu, J. Y., & Lien, J. J. J. (2007). Using the orthographic projection model to approximate the perspective projection model for 3D facial reconstruction. In Advances in Image and Video Technology - Second Pacific Rim Symposium, PSIVT 2007, Proceedings (pp. 462-473). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4872 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-77129-6_41

Wu, Jin Yi ; Lien, Jenn Jier James. / Using the orthographic projection model to approximate the perspective projection model for 3D facial reconstruction. Advances in Image and Video Technology - Second Pacific Rim Symposium, PSIVT 2007, Proceedings. Springer Verlag, 2007. pp. 462-473 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "This study develops a 3D facial reconstruction system, which consists of five modules, using the orthographic projection model to approximate the perspective projection model. The first module identifies a number of feature points on the face and tracks these feature points over a sequence of facial images by the optical flow technique. The second module applies the factorization method to the orthographic model to reconstruct a 3D human face. The facial images are acquired using a pinhole camera, which are based on a perspective projection model. However, the face is reconstructed using an orthographic projection model. To compensate for the difference between these two models, the third module implements a simple and efficient method for approximating the perspective projection model. The fourth module overcomes the missing point problem, commonly arising in 3D reconstruction applications. Finally, the fifth module implements a smoothing process for the 3D surface by interpolating additional vertices.",

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Wu, JY & Lien, JJJ 2007, Using the orthographic projection model to approximate the perspective projection model for 3D facial reconstruction. in Advances in Image and Video Technology - Second Pacific Rim Symposium, PSIVT 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4872 LNCS, Springer Verlag, pp. 462-473, 2nd Pacific Rim Symposium on Image and Video Technology, PSIVT 2007, Santiago, Chile, 07-12-17. https://doi.org/10.1007/978-3-540-77129-6_41

Using the orthographic projection model to approximate the perspective projection model for 3D facial reconstruction. / Wu, Jin Yi; Lien, Jenn Jier James.

Advances in Image and Video Technology - Second Pacific Rim Symposium, PSIVT 2007, Proceedings. Springer Verlag, 2007. p. 462-473 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4872 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Wu JY, Lien JJJ. Using the orthographic projection model to approximate the perspective projection model for 3D facial reconstruction. In Advances in Image and Video Technology - Second Pacific Rim Symposium, PSIVT 2007, Proceedings. Springer Verlag. 2007. p. 462-473. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-77129-6_41