TY - GEN
T1 - A local descriptor for high-speed and high-performance pictogram matching
AU - Aoki, Terumasa
AU - Kaminishi, Kurumi
PY - 2018/2/20
Y1 - 2018/2/20
N2 - Pictogram, a simple picture-based symbol, is widely used to indicate important facilities (such as 'rest room') or important rules (such as 'no smoking'). If a practicable pictogram matching technology is available, it must be useful for many applications. Unfortunately, as far as the authors know, there are no practicable methods which satisfy both high-speed (real-time) processing and high performance (high matching ratio). In this paper, we present a novel local descriptor for high-speed and high-performance pictogram matching under a variety of photographing conditions. The proposed method consists of three modules: projection-invariant values called CRN (Cross Ratio Number), shape description scheme for pictograms, and matching acceleration method based on feature vector classification by using the relationship between contour and convex hull. The experiments show our method outperforms the state-of-the-art methods in terms of matching ratio and computation cost.
AB - Pictogram, a simple picture-based symbol, is widely used to indicate important facilities (such as 'rest room') or important rules (such as 'no smoking'). If a practicable pictogram matching technology is available, it must be useful for many applications. Unfortunately, as far as the authors know, there are no practicable methods which satisfy both high-speed (real-time) processing and high performance (high matching ratio). In this paper, we present a novel local descriptor for high-speed and high-performance pictogram matching under a variety of photographing conditions. The proposed method consists of three modules: projection-invariant values called CRN (Cross Ratio Number), shape description scheme for pictograms, and matching acceleration method based on feature vector classification by using the relationship between contour and convex hull. The experiments show our method outperforms the state-of-the-art methods in terms of matching ratio and computation cost.
KW - Image matching
KW - Local feature
KW - Pictogram
KW - Shape descriptor
UR - http://www.scopus.com/inward/record.url?scp=85045312760&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85045312760&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2017.8296444
DO - 10.1109/ICIP.2017.8296444
M3 - Conference contribution
AN - SCOPUS:85045312760
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 1062
EP - 1066
BT - 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
PB - IEEE Computer Society
T2 - 24th IEEE International Conference on Image Processing, ICIP 2017
Y2 - 17 September 2017 through 20 September 2017
ER -