A compression method for 3-D laser range scans of indoor environments based on compressive sensing
European Signal Processing Conference
1115 - 1119
Item Usage Stats
MetadataShow full item record
Modeling and representing 3-D environments require the transmission and storage of vast amount of measurements that need to be compressed efficiently. We propose a novel compression technique based on compressive sensing for 3-D range measurements that are found to be correlated with each other. The main issue here is finding a highly sparse representation of the range measurements, since they do not have highly sparse representations in common domains, such as the frequency domain. To solve this problem, we generate sparse innovations between consecutive range measurements along the axis of the sensor's motion. We obtain highly sparse innovations compared with other possible ones generated by estimation and filtering. Being a lossy technique, the proposed method performs reasonably well compared with widely used compression techniques. © 2011 EURASIP.
Estimation and filtering
Laser range scan
Showing items related by title, author, creator and subject.
A compression method based on compressive sampling for 3-D laser range scans of indoor environments Dobrucali O.; Barshan, B. (2010)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 ...
Gedik, B. (Institute of Electrical and Electronics Engineers, 2014)This paper introduces an adaptive compression algorithm for transfer of data streams across operators in stream processing systems. The algorithm is adaptive in the sense that it can adjust the amount of compression applied ...
Şaykol, E.; Sinop, A. K.; Güdükbay U.; Ulusoy, Ö.; Çetin, A. E. (IEEE, 2004)There is an accelerating demand to access the visual content of documents stored in historical and cultural archives. Availability of electronic imaging tools and effective image processing techniques makes it feasible to ...