Abstract
In the recent years, color and depth camera systems have attracted intensive attention because of its wide applications in image-based rendering, 3D model reconstruction, and human tracking and pose estimation. These applications often require multiple color and depth cameras to be placed with wide separation so as to capture the scene objects from different prospectives. The difference in modality and the wide baseline make calibration a challenging problem. In this paper, we present an algorithm that simultaneously and automatically calibrates the extrinsics across multiple color and depth cameras across the network. Rather than using the standard checkerboard, we use a sphere as a calibration object to identify the correspondences across different views. We experimentally demonstrate that our calibration framework can seamlessly integrate different views with wide baselines that outperforms other techniques in the literature.
Original language | English |
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Title of host publication | 2014 IEEE International Workshop on Multimedia Signal Processing, MMSP 2014 |
ISBN (Electronic) | 9781479958962 |
DOIs | |
State | Published - Nov 14 2014 |
Event | 2014 16th IEEE International Workshop on Multimedia Signal Processing, MMSP 2014 - Jakarta, Indonesia Duration: Sep 22 2014 → Sep 24 2014 |
Publication series
Name | 2014 IEEE International Workshop on Multimedia Signal Processing, MMSP 2014 |
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Conference
Conference | 2014 16th IEEE International Workshop on Multimedia Signal Processing, MMSP 2014 |
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Country/Territory | Indonesia |
City | Jakarta |
Period | 9/22/14 → 9/24/14 |
Bibliographical note
Publisher Copyright:© 2014 IEEE.
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Signal Processing