DocumentCode :
2602231
Title :
Using saddle points for subpixel feature detection in camera calibration targets
Author :
Lucchese, Luca ; Mitra, Sanjit K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Oregon State Univ., Corvallis, OR, USA
Volume :
2
fYear :
2002
fDate :
2002
Firstpage :
191
Abstract :
The determination of reliable features with subpixel accuracy is an important requirement of any camera calibration algorithm. This paper offers a simple and computationally attractive method for extracting X-junctions with subpixel precision from images of calibration checkerboards by showing how the saddle points associated with them can be determined without any surface fitting required by standard feature detection algorithms.
Keywords :
calibration; cameras; computer vision; feature extraction; X-junctions; calibration checkerboards; camera calibration targets; feature detection algorithms; saddle points; subpixel accuracy; subpixel feature detection; Calibration; Cameras; Computer vision; Detectors; Face detection; Focusing; Gaussian noise; Pixel; Signal to noise ratio; Surface fitting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2002. APCCAS '02. 2002 Asia-Pacific Conference on
Print_ISBN :
0-7803-7690-0
Type :
conf
DOI :
10.1109/APCCAS.2002.1115151
Filename :
1115151
Link To Document :
بازگشت