Title :
Normal Map Acquisition of Nearly Flat Objects Using a Flatbed Scanner
Author :
Rongjiang Pan ; Skala, Vaclav
Author_Institution :
Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan, China
Abstract :
We propose a new efficient technique for acquiring normal maps of nearly flat objects using a flatbed scanner. The technique requires no hardware modification or dedicated calibration. Our setup consists of a conventional flatbed scanner and a clamp on which a planar checkerboard is glued. We take four scans of the object manually rotated by roughly 90 degrees. The scans are then registered by sub pixel checkerboard corners. Detailed normal map of the scanned surface is obtained by solving a linear least squares problem.
Keywords :
data acquisition; image reconstruction; image registration; image scanners; least squares approximations; object detection; clamp; flatbed scanner; linear least squares problem; nearly flat objects; normal map acquisition; planar checkerboard; subpixel checkerboard corners; Clamps; Hardware; Image reconstruction; Light sources; Lighting; Surface reconstruction; Vectors; Checkerboard; Flatbed scanner; Normal map; Subpixel corners; reconstruction;
Conference_Titel :
Virtual Reality and Visualization (ICVRV), 2013 International Conference on
Conference_Location :
Xi´an
DOI :
10.1109/ICVRV.2013.19