Cited By
View all- Smith MMaiti AMaxwell AKist A(2019)Colour Histogram Segmentation for Object Tracking in Remote Laboratory EnvironmentsCyber-physical Systems and Digital Twins10.1007/978-3-030-23162-0_49(544-563)Online publication date: 11-Jul-2019
Adaptive threshold algorithm for multi-marker augmented reality system
Authors: 
Xiaohu Ma, Gang Shi, Hongbo TianAuthors Info & Claims
Pages 71 - 74
Abstract
In recent years, ARToolKit has been widely used in the development of Augmented Reality (AR) system. It employs square markers, which are more accurate and reliable to locate the position than other planar markers, such as concentric rings and concentric circles. However, in the process of recognition, ARToolKit adopts fixed threshold segmentation method that is not in favor of complex environment. In this paper, we use an improved image segmentation algorithm based on Otsu method and design a Multi-marker Augmented Reality (MAR) system. The experiments indicate that MAR system has the advantage of certain anti-noise ability; therefore it can be applied into complex environment successfully.
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- Adaptive threshold algorithm for multi-marker augmented reality system
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Published In
December 2010
399 pages
ISBN:9781450304597
DOI:10.1145/1900179
- General Chairs:
- Hyun Seung Yang,
- Kazumasa Enami,
- Nadia Magnenat-Thalmann,
- Jim Chen,
- Program Chairs:
- Seiki Inoue,
- Zhigeng Pan,
- Jong -IL Park
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Published: 12 December 2010
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VRCAI '10
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VRCAI '10: Virtual Reality Continuum and its Applications in Industry
December 12 - 13, 2010
Seoul, South Korea
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Cited By
View all- Smith MMaiti AMaxwell AKist A(2019)Colour Histogram Segmentation for Object Tracking in Remote Laboratory EnvironmentsCyber-physical Systems and Digital Twins10.1007/978-3-030-23162-0_49(544-563)Online publication date: 11-Jul-2019
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