TY - GEN
T1 - An Effective Two-stage Screen Positioning Method Based on Improved Binary SIFT Descriptor
AU - Luo, Bai
AU - Peng, Xiwei
AU - Tang, Jin
AU - Chen, Xin
N1 - Publisher Copyright:
© 2021 Technical Committee on Control Theory, Chinese Association of Automation.
PY - 2021/7/26
Y1 - 2021/7/26
N2 - With the popularization of smart screens, screen bonding technology has gradually developed. This paper uses the SIFT algorithm to recognize the LCD screen. Aiming at the problem of long matching time and large memory usage for its 128-dimensional floating-point descriptor, this paper proposes an improved binary descriptor, which can effectively increase the percentage of correct matching between key points and reduce the matching time by 1/3. After recognizing the object, this paper proposes a two-stage positioning method. We use the screen center obtained by the SIFT algorithm as the seed to perform Flood-fill processing, and obtain the four inner corners of the LCD screen through sub-pixel corner detection to accurately calculate the screen center. Finally, it is verified through experiments that the positioning error can be kept within 2.5 pixels, and the angle error can be kept within 0.9 degrees, which can meet the screen fitting accuracy requirements.
AB - With the popularization of smart screens, screen bonding technology has gradually developed. This paper uses the SIFT algorithm to recognize the LCD screen. Aiming at the problem of long matching time and large memory usage for its 128-dimensional floating-point descriptor, this paper proposes an improved binary descriptor, which can effectively increase the percentage of correct matching between key points and reduce the matching time by 1/3. After recognizing the object, this paper proposes a two-stage positioning method. We use the screen center obtained by the SIFT algorithm as the seed to perform Flood-fill processing, and obtain the four inner corners of the LCD screen through sub-pixel corner detection to accurately calculate the screen center. Finally, it is verified through experiments that the positioning error can be kept within 2.5 pixels, and the angle error can be kept within 0.9 degrees, which can meet the screen fitting accuracy requirements.
KW - Flood-fill
KW - improved binary descriptor
KW - screen bonding
KW - two-stage positioning
UR - http://www.scopus.com/inward/record.url?scp=85117330851&partnerID=8YFLogxK
U2 - 10.23919/CCC52363.2021.9549572
DO - 10.23919/CCC52363.2021.9549572
M3 - Conference contribution
AN - SCOPUS:85117330851
T3 - Chinese Control Conference, CCC
SP - 6481
EP - 6486
BT - Proceedings of the 40th Chinese Control Conference, CCC 2021
A2 - Peng, Chen
A2 - Sun, Jian
PB - IEEE Computer Society
T2 - 40th Chinese Control Conference, CCC 2021
Y2 - 26 July 2021 through 28 July 2021
ER -