Differential 3D shape retrieval

J. Matías Di Martino; Alicia Fernández; Gastón A. Ayubi; José A. Ferrari

doi:10.1016/j.optlaseng.2014.02.004

Differential 3D shape retrieval

J. Matías Di Martino, Alicia Fernández, Gastón A. Ayubi, José A. Ferrari

Universidad de la República

Research output: Contribution to journal › Article › peer-review

15 Scopus citations

Abstract

We are presenting a differential three-dimensional (3-D) shape profiling method that is based on the combination of orthogonal fringe projection. It allows us to compute depth gradient maps in a fast and efficient manner. What we are demonstrating is that depth gradients can be computed in a simple way by measuring fringe deformation throughout a novel single-shot approach. We show the usefulness and potential applications of the proposed approach. Validation experiments are presented as well.

Original language	English
Pages (from-to)	114-118
Number of pages	5
Journal	Optics and Lasers in Engineering
Volume	58
DOIs	https://doi.org/10.1016/j.optlaseng.2014.02.004
State	Published - Jul 2014
Externally published	Yes

Keywords

3D face recognition
Depth retrieval
Fringe projection

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10.1016/j.optlaseng.2014.02.004

Cite this

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title = "Differential 3D shape retrieval",

abstract = "We are presenting a differential three-dimensional (3-D) shape profiling method that is based on the combination of orthogonal fringe projection. It allows us to compute depth gradient maps in a fast and efficient manner. What we are demonstrating is that depth gradients can be computed in a simple way by measuring fringe deformation throughout a novel single-shot approach. We show the usefulness and potential applications of the proposed approach. Validation experiments are presented as well.",

keywords = "3D face recognition, Depth retrieval, Fringe projection",

author = "{Di Martino}, {J. Mat{\'i}as} and Alicia Fern{\'a}ndez and Ayubi, {Gast{\'o}n A.} and Ferrari, {Jos{\'e} A.}",

year = "2014",

month = jul,

doi = "10.1016/j.optlaseng.2014.02.004",

language = "Ingl{\'e}s",

volume = "58",

pages = "114--118",

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T1 - Differential 3D shape retrieval

AU - Di Martino, J. Matías

AU - Fernández, Alicia

AU - Ayubi, Gastón A.

AU - Ferrari, José A.

PY - 2014/7

Y1 - 2014/7

N2 - We are presenting a differential three-dimensional (3-D) shape profiling method that is based on the combination of orthogonal fringe projection. It allows us to compute depth gradient maps in a fast and efficient manner. What we are demonstrating is that depth gradients can be computed in a simple way by measuring fringe deformation throughout a novel single-shot approach. We show the usefulness and potential applications of the proposed approach. Validation experiments are presented as well.

AB - We are presenting a differential three-dimensional (3-D) shape profiling method that is based on the combination of orthogonal fringe projection. It allows us to compute depth gradient maps in a fast and efficient manner. What we are demonstrating is that depth gradients can be computed in a simple way by measuring fringe deformation throughout a novel single-shot approach. We show the usefulness and potential applications of the proposed approach. Validation experiments are presented as well.

KW - 3D face recognition

KW - Depth retrieval

KW - Fringe projection

UR - http://www.scopus.com/inward/record.url?scp=84897015087&partnerID=8YFLogxK

U2 - 10.1016/j.optlaseng.2014.02.004

DO - 10.1016/j.optlaseng.2014.02.004

M3 - Artículo

AN - SCOPUS:84897015087

SN - 0143-8166

VL - 58

SP - 114

EP - 118

JO - Optics and Lasers in Engineering

JF - Optics and Lasers in Engineering

ER -

Differential 3D shape retrieval

Abstract

Keywords

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