Using a Robotic Arm for Measuring BRDFs

Rasmus Ahrenkiel Lyngby; Jannik Matthiassen; Jeppe Revall Frisvad; Anders Bjorholm Dahl; Henrik Aanæs

doi:10.1007/978-3-030-20205-7_16

Using a Robotic Arm for Measuring BRDFs

Rasmus Ahrenkiel Lyngby, Jannik Matthiassen, Jeppe Revall Frisvad, Anders Bjorholm Dahl, Henrik Aanæs

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Abstract

The measurement of a bidirectional reflectance distribution function (BRDF) requires a purpose-built instrument. We ease this requirement by presenting a relative method for measuring a BRDF using a multipurpose robotic arm. Our focus is on the alignment of the system to perform accurate camera positioning and orientation. We use a six degrees of freedom robotic arm to move a camera on a hemisphere surrounding a flat material sample. Point-like light sources, fixed on a quarter circle arc, sequentially illuminate the sample from different directions. The resulting images are used to reconstruct the material BRDF. We limit ourselves to tristimulus (RGB) isotropic BRDF acquisition.

Original language	English
Title of host publication	Scandinavian Conference on Image Analysis
Volume	11482
Publisher	Springer
Publication date	2019
Pages	184-196
ISBN (Print)	978-3-030-20204-0
DOIs	https://doi.org/10.1007/978-3-030-20205-7_16
Publication status	Published - 2019
Event	2019 Scandinavian Conference on Image Analysis - Norrköpings Visualisering Center, Norrköping, Sweden Duration: 11 Jun 2019 → 13 Jun 2019 http://ssba.org.se/scia2019/

Conference

Conference	2019 Scandinavian Conference on Image Analysis
Location	Norrköpings Visualisering Center
Country/Territory	Sweden
City	Norrköping
Period	11/06/2019 → 13/06/2019
Internet address	http://ssba.org.se/scia2019/

Series	Lecture Notes in Computer Science
Volume	11482
ISSN	0302-9743

Keywords

Robot arm
BRDF
Camera pose estimation

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title = "Using a Robotic Arm for Measuring BRDFs",

abstract = "The measurement of a bidirectional reflectance distribution function (BRDF) requires a purpose-built instrument. We ease this requirement by presenting a relative method for measuring a BRDF using a multipurpose robotic arm. Our focus is on the alignment of the system to perform accurate camera positioning and orientation. We use a six degrees of freedom robotic arm to move a camera on a hemisphere surrounding a flat material sample. Point-like light sources, fixed on a quarter circle arc, sequentially illuminate the sample from different directions. The resulting images are used to reconstruct the material BRDF. We limit ourselves to tristimulus (RGB) isotropic BRDF acquisition.",

keywords = "Robot arm, BRDF, Camera pose estimation",

author = "Lyngby, {Rasmus Ahrenkiel} and Jannik Matthiassen and Frisvad, {Jeppe Revall} and Dahl, {Anders Bjorholm} and Henrik Aan{\ae}s",

year = "2019",

doi = "10.1007/978-3-030-20205-7_16",

language = "English",

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AU - Lyngby, Rasmus Ahrenkiel

AU - Matthiassen, Jannik

AU - Frisvad, Jeppe Revall

AU - Dahl, Anders Bjorholm

AU - Aanæs, Henrik

PY - 2019

Y1 - 2019

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KW - Robot arm

KW - BRDF

KW - Camera pose estimation

U2 - 10.1007/978-3-030-20205-7_16

DO - 10.1007/978-3-030-20205-7_16

M3 - Article in proceedings

SN - 978-3-030-20204-0

VL - 11482

T3 - Lecture Notes in Computer Science

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EP - 196

BT - Scandinavian Conference on Image Analysis

PB - Springer

T2 - 2019 Scandinavian Conference on Image Analysis

Y2 - 11 June 2019 through 13 June 2019

ER -

Using a Robotic Arm for Measuring BRDFs

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