Open Access. Powered by Scholars. Published by Universities.®

Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Utah State University

Series

2013

Texel images

Articles 1 - 2 of 2

Full-Text Articles in Engineering

Calibration Method For Texel Images Created From Fused Lidar And Digital Camera Images, Scott E. Budge, N.S. Badamikar Oct 2013

Calibration Method For Texel Images Created From Fused Lidar And Digital Camera Images, Scott E. Budge, N.S. Badamikar

Electrical and Computer Engineering Faculty Publications

The fusion of imaging lidar information and digital imagery results in 2.5-dimensional surfaces covered with texture information, called texel images. These data sets, when taken from different viewpoints, can be combined to create three-dimensional (3-D) images of buildings, vehicles, or other objects. This paper presents a procedure for calibration, error correction, and fusing of flash lidar and digital camera information from a single sensor configuration to create accurate texel images. A brief description of a prototype sensor is given, along with a calibration technique used with the sensor, which is applicable to other flash lidar/digital image sensor systems. The method …


Automatic Registration Of Multiple Texel Images (Fused Lidar/Digital Imagery) For 3d Image Creation, Scott E. Budge, N. Badamikar Jun 2013

Automatic Registration Of Multiple Texel Images (Fused Lidar/Digital Imagery) For 3d Image Creation, Scott E. Budge, N. Badamikar

Electrical and Computer Engineering Faculty Publications

Creation of 3D images through remote sensing is a topic of interest in many applications such as terrain / building modeling and automatic target recognition (ATR). Several photogrammetry-based methods have been proposed that derive 3D information from digital images from different perspectives, and lidar- based methods have been proposed that merge lidar point clouds and texture the merged point clouds with digital imagery. Image registra­ tion alone has difficulty with smooth regions with low contrast, whereas point cloud merging alone has difficulty with outliers and lack of proper convergence in the merging process. This paper presents a method to create …