Compression of 3D range data with adaptive thresholding using the Integral Image

• Main Authors: Bin Wu, 吳斌
• Other Authors: Chia-Yen Chen
• Format: Others
• Language: en_US
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/07486691957907948093

碩士 === 國立高雄大學 === 資訊工程學系碩士班 === 99 === Computer vision still has many research areas for improvement. A lot of its applications require collection of environmental information. A huge amount of information may be used for applications related to visual computing. Due to the huge amount of data, performance of vision related applications may often require a lot of time. Nevertheless, with the advancement in hardware, processing powers have increased and the applications of computer vision can become increasingly popular. 3D distance information is needed to reconstruct a 3D scene. The amount of data for the 3D coordinates of a scene may be very large. So, it is difficult to save or transmit the data. Computers face performance issues during the processing of large amount of data. Therefore, a destructive data compression method may be required to reduce the amount of data. Based on the raw data imported from instruments, we want to extract the necessary information and discard the rest. In this paper, the compression of 3D range data with adaptive thresholding using the integral image data compression method for destructive data compression is proposed. This is a creative way and extends old method for 2D image to 3D that can maintain a large number of three-dimensional edge information of object while processing destructive data compression. It can reduce the reservation on the critical information for human’s eye.