Completion of occluded shapes using symmetry

H. Zabrodsky; S. Peleg; D. Avnir

Completion of occluded shapes using symmetry

H. Zabrodsky
, S. Peleg
, D. Avnir

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

Abstract

Symmetry is usually viewed as a discrete feature; an object is either symmetric or non-symmetric. Following the view that symmetry is a continuous feature, a Continuous Symmetry Measure (CSM) has been developed to evaluate symmetries of shape and objects.In this paper we extend the symmetry measure to evaluate the symmetry of occluded shapes. Additionally, using the symmetry measure, we reconstruct occluded shapes by locating the center of symmetry of the shape.

Original language	English
Title of host publication	Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
Publisher	IEEE
Pages	678-679
Number of pages	2
ISBN (Print)	0818638826
State	Published - 1993
Externally published	Yes

Publication series

Name	IEEE Computer Vision and Pattern Recognition
Publisher	Publ by IEEE

Bibliographical note

Proceedings of the 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition ; Conference date: 15-06-1993 Through 18-06-1993

Access to Document

https://www.cs.huji.ac.il/~peleg/papers/cvpr93-OccludingShapes.pdf

Cite this

@inproceedings{d75ed84919414ef2a07ba125da300442,

title = "Completion of occluded shapes using symmetry",

abstract = "Symmetry is usually viewed as a discrete feature; an object is either symmetric or non-symmetric. Following the view that symmetry is a continuous feature, a Continuous Symmetry Measure (CSM) has been developed to evaluate symmetries of shape and objects.In this paper we extend the symmetry measure to evaluate the symmetry of occluded shapes. Additionally, using the symmetry measure, we reconstruct occluded shapes by locating the center of symmetry of the shape.",

author = "H. Zabrodsky and S. Peleg and D. Avnir",

note = "Proceedings of the 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition ; Conference date: 15-06-1993 Through 18-06-1993",

year = "1993",

language = "English",

isbn = "0818638826",

series = "IEEE Computer Vision and Pattern Recognition",

publisher = "IEEE",

pages = "678--679",

booktitle = "Proceedings of IEEE Conference on Computer Vision and Pattern Recognition",

}

TY - GEN

T1 - Completion of occluded shapes using symmetry

AU - Zabrodsky, H.

AU - Peleg, S.

AU - Avnir, D.

N1 - Proceedings of the 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition ; Conference date: 15-06-1993 Through 18-06-1993

PY - 1993

Y1 - 1993

N2 - Symmetry is usually viewed as a discrete feature; an object is either symmetric or non-symmetric. Following the view that symmetry is a continuous feature, a Continuous Symmetry Measure (CSM) has been developed to evaluate symmetries of shape and objects.In this paper we extend the symmetry measure to evaluate the symmetry of occluded shapes. Additionally, using the symmetry measure, we reconstruct occluded shapes by locating the center of symmetry of the shape.

AB - Symmetry is usually viewed as a discrete feature; an object is either symmetric or non-symmetric. Following the view that symmetry is a continuous feature, a Continuous Symmetry Measure (CSM) has been developed to evaluate symmetries of shape and objects.In this paper we extend the symmetry measure to evaluate the symmetry of occluded shapes. Additionally, using the symmetry measure, we reconstruct occluded shapes by locating the center of symmetry of the shape.

M3 - Conference contribution

SN - 0818638826

T3 - IEEE Computer Vision and Pattern Recognition

SP - 678

EP - 679

BT - Proceedings of IEEE Conference on Computer Vision and Pattern Recognition

PB - IEEE

ER -

Completion of occluded shapes using symmetry

Abstract

Publication series

Bibliographical note

Access to Document

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Cite this