Title :
An Efficient Vanishing Point Detection by Clustering on the Normalized Unit Sphere
Author :
He, Qiang ; Chu, Chee-Hung Henry
Author_Institution :
Louisiana Univ., Lafayette
Abstract :
Detecting vanishing points in digital images is important for 3D reconstruction of a scene using uncalibrated cameras. We present a new vanishing point detection algorithm based on the normalized unit sphere that not only bounds the search space but treats the finite vanishing points and the vanishing points at infinity in the same manner. The experimental results using synthetic and real data demonstrate the efficacy and performance of this algorithm.
Keywords :
computer vision; image reconstruction; 3D reconstruction; clustering; digital images; finite vanishing points; normalized unit sphere; uncalibrated cameras; vanishing point detection; Computer architecture; Detection algorithms; Digital cameras; Digital images; H infinity control; Helium; Image reconstruction; Layout; Maximum likelihood detection; Maximum likelihood estimation;
Conference_Titel :
Computer Architecture for Machine Perception and Sensing, 2006. CAMP 2006. International Workshop on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-0685-2
Electronic_ISBN :
978-1-4244-0686-9
DOI :
10.1109/CAMP.2007.4350382
