A compression method for 3-D laser range scans of indoor environments based on compressive sensing
European Signal Processing Conference
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/28312
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.
- Conference Paper 
Showing items related by title, author, creator and subject.
Dobrucali O.; Barshan, B. (2013)Three-dimensional models of environments can be very useful and are commonly employed in areas such as robotics, art and architecture, facility management, water management, environmental/industrial/urban planning and ...
Gedik, B. (IEEE Computer Society, 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 ...
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 ...