A compression method based on compressive sampling for 3-D laser range scans of indoor environments

Date
2010
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Source Title
Computer and Information Sciences
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Publisher
Springer, Dordrecht
Volume
62
Issue
Pages
265 - 270
Language
English
Type
Conference Paper
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Abstract

When 3-D models of environments need to be transmitted or stored, they should be compressed efficiently to increase the capacity of the communication channel or the storage medium. We propose a novel compression technique based on compressive sensing, applied to sparse representations of 3-D range measurements. We develop a novel algorithm to generate sparse innovations between consecutive range measurements along the axis of the sensor's motion, since the range measurements do not have highly sparse representations in common domains. Compared with the performances of widely used compression techniques, the proposed method offers the smallest compression ratio and provides a reasonable balance between reconstruction error and processing time. © 2011 Springer Science+Business Media B.V.

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Keywords
3D models, Communication channel, Compression methods, Compression ratios, Compression techniques, Compressive sampling, Compressive sensing, Indoor environment, Laser range scan, Novel algorithm, Processing Time, Range measurements, Reconstruction error, Sparse representation, Storage medium, Compression ratio (machinery), Information science, Three dimensional
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