Abstract
This paper presents a multi-view acquisition system using multi-modal sensors, composed of time-of-flight (ToF) range sensors and color cameras. Our system captures the multiple pairs of color images and depth maps at multiple viewing directions. In order to ensure the acceptable accuracy of measurements, we compensate errors in sensor measurement and calibrate multi-modal devices. Upon manifold experiments and extensive analysis, we identify the major sources of systematic error in sensor measurement and construct an error model for compensation. As a result, we provide a practical solution for the real-time error compensation of depth measurement. Moreover, we implement the calibration scheme for multi-modal devices, unifying the spatial coordinate for multi-modal sensors. The main contribution of this work is to present the thorough analysis of systematic error in sensor measurement and therefore provide a reliable methodology for robust error compensation. The proposed system offers a real-time multi-modal sensor calibration method and thereby is applicable for the 3D reconstruction of dynamic scenes.
Original language | English |
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Pages (from-to) | 1139-1151 |
Number of pages | 13 |
Journal | Visual Computer |
Volume | 28 |
Issue number | 12 |
DOIs | |
Publication status | Published - 2012 Dec 1 |
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All Science Journal Classification (ASJC) codes
- Software
- Computer Vision and Pattern Recognition
- Computer Graphics and Computer-Aided Design
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Time-of-flight sensor and color camera calibration for multi-view acquisition. / Shim, Hyunjung; Adelsberger, Rolf; Kim, James Dokyoon; Rhee, Seon Min; Rhee, Taehyun; Sim, Jae Young; Gross, Markus; Kim, Changyeong.
In: Visual Computer, Vol. 28, No. 12, 01.12.2012, p. 1139-1151.Research output: Contribution to journal › Article
TY - JOUR
T1 - Time-of-flight sensor and color camera calibration for multi-view acquisition
AU - Shim, Hyunjung
AU - Adelsberger, Rolf
AU - Kim, James Dokyoon
AU - Rhee, Seon Min
AU - Rhee, Taehyun
AU - Sim, Jae Young
AU - Gross, Markus
AU - Kim, Changyeong
PY - 2012/12/1
Y1 - 2012/12/1
N2 - This paper presents a multi-view acquisition system using multi-modal sensors, composed of time-of-flight (ToF) range sensors and color cameras. Our system captures the multiple pairs of color images and depth maps at multiple viewing directions. In order to ensure the acceptable accuracy of measurements, we compensate errors in sensor measurement and calibrate multi-modal devices. Upon manifold experiments and extensive analysis, we identify the major sources of systematic error in sensor measurement and construct an error model for compensation. As a result, we provide a practical solution for the real-time error compensation of depth measurement. Moreover, we implement the calibration scheme for multi-modal devices, unifying the spatial coordinate for multi-modal sensors. The main contribution of this work is to present the thorough analysis of systematic error in sensor measurement and therefore provide a reliable methodology for robust error compensation. The proposed system offers a real-time multi-modal sensor calibration method and thereby is applicable for the 3D reconstruction of dynamic scenes.
AB - This paper presents a multi-view acquisition system using multi-modal sensors, composed of time-of-flight (ToF) range sensors and color cameras. Our system captures the multiple pairs of color images and depth maps at multiple viewing directions. In order to ensure the acceptable accuracy of measurements, we compensate errors in sensor measurement and calibrate multi-modal devices. Upon manifold experiments and extensive analysis, we identify the major sources of systematic error in sensor measurement and construct an error model for compensation. As a result, we provide a practical solution for the real-time error compensation of depth measurement. Moreover, we implement the calibration scheme for multi-modal devices, unifying the spatial coordinate for multi-modal sensors. The main contribution of this work is to present the thorough analysis of systematic error in sensor measurement and therefore provide a reliable methodology for robust error compensation. The proposed system offers a real-time multi-modal sensor calibration method and thereby is applicable for the 3D reconstruction of dynamic scenes.
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UR - http://www.scopus.com/inward/citedby.url?scp=84869090899&partnerID=8YFLogxK
U2 - 10.1007/s00371-011-0664-x
DO - 10.1007/s00371-011-0664-x
M3 - Article
AN - SCOPUS:84869090899
VL - 28
SP - 1139
EP - 1151
JO - Visual Computer
JF - Visual Computer
SN - 0178-2789
IS - 12
ER -