國立虎尾科技大學 |

Two-view Geometry, Symmetry, and Object Perception.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Two-view Geometry, Symmetry, and Object Perception./
作者:	Michaux, Aaron.
面頁冊數:	1 online resource (129 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-02(E), Section: B.
Contained By:	Dissertation Abstracts International79-02B(E).
標題:	Computer engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9780355257724

Two-view Geometry, Symmetry, and Object Perception.
Michaux, Aaron.

Two-view Geometry, Symmetry, and Object Perception. - 1 online resource (129 pages)

Source: Dissertation Abstracts International, Volume: 79-02(E), Section: B.

Thesis (Ph.D.)--Purdue University, 2017.

Includes bibliographical references

The human vision system almost always parses visual scenes into objects, and recovers those objects accurately, forming veridical 3D perceptions. Veridical means "coinciding with reality", or seeing what is really "out there" in the world. Research is perceptual psychology has demonstrated the importance of priors in human vision, and 3D mirror symmetry prior is the most important prior. However, there has been comparatively little computer vision research in 3D mirror symmetry, despite the acknowledged importance of priors. In this thesis a principled approach is developed to the study of computer vision problems using priors, and applied to figure/ground organization (FGO), and the recovery of 3D objects from camera images. Before the new theoretical and experimental results are presented, the relevant geometrical and computational tools are reviewed. It is argued that symmetry is an informative prior in both FGO and 3D recovery. 3D symmetry aids FGO because (i) many individual objects exhibit symmetry, and (ii) configurations of unrelated objects are rarely symmetrical. Using K-means as a baseline, this approach was tested on a corpus of 180 image pairs. Symmetry based FGO outperforms the baseline in almost all cases. With respect to 3D object recovery, 3D symmetry constrains the 3D interpretation of the object image, and provides an accurate method to locate object points in R3. 3D object recovery was tested on a corpus of 89 image pairs. The average 3D reconstruction error is reported. Furthermore, animations are presented showing 3D reconstructions. Finally, two simulations were run that (i) compare the accuracy of 3D recovery against Triangulation, and (ii) estimate the expected precision and accuracy of 3D recovery.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355257724Subjects--Topical Terms:

569006
Computer engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Two-view Geometry, Symmetry, and Object Perception.
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502 $a Thesis (Ph.D.)--Purdue University, 2017.
504 $a Includes bibliographical references
520 $a The human vision system almost always parses visual scenes into objects, and recovers those objects accurately, forming veridical 3D perceptions. Veridical means "coinciding with reality", or seeing what is really "out there" in the world. Research is perceptual psychology has demonstrated the importance of priors in human vision, and 3D mirror symmetry prior is the most important prior. However, there has been comparatively little computer vision research in 3D mirror symmetry, despite the acknowledged importance of priors. In this thesis a principled approach is developed to the study of computer vision problems using priors, and applied to figure/ground organization (FGO), and the recovery of 3D objects from camera images. Before the new theoretical and experimental results are presented, the relevant geometrical and computational tools are reviewed. It is argued that symmetry is an informative prior in both FGO and 3D recovery. 3D symmetry aids FGO because (i) many individual objects exhibit symmetry, and (ii) configurations of unrelated objects are rarely symmetrical. Using K-means as a baseline, this approach was tested on a corpus of 180 image pairs. Symmetry based FGO outperforms the baseline in almost all cases. With respect to 3D object recovery, 3D symmetry constrains the 3D interpretation of the object image, and provides an accurate method to locate object points in R3. 3D object recovery was tested on a corpus of 89 image pairs. The average 3D reconstruction error is reported. Furthermore, animations are presented showing 3D reconstructions. Finally, two simulations were run that (i) compare the accuracy of 3D recovery against Triangulation, and (ii) estimate the expected precision and accuracy of 3D recovery.
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538 $a Mode of access: World Wide Web
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690 $a 0464
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