排序方式: 共有3条查询结果,搜索用时 250 毫秒
1
1.
Robust hand gesture recognition system based on a new set of quaternion Tchebichef moment invariants
Elouariachi Ilham Benouini Rachid Zenkouar Khalid Zarghili Arsalane 《Pattern Analysis & Applications》2020,23(3):1337-1353
Pattern Analysis and Applications - Hand gesture recognition is a challenging task due to the complexity of hand movements and to the variety among the same gesture performed by distinct subjects.... 相似文献
2.
El Ouariachi Ilham Benouini Rachid Zenkouar Khalid Zarghili Arsalane El Fadili Hakim 《Multimedia Tools and Applications》2022,81(9):12725-12757
Multimedia Tools and Applications - Due to the diversity of hand gestures uses in human computer interaction and the complexity involved by gestures, many features have been proposed, however each... 相似文献
3.
Zaineb Bahaoui Hakim El Fadili Khalid Zenkouar Arsalane Zarghili 《Signal, Image and Video Processing》2017,11(7):1313-1320
This study aims to explore a novel approach to reconstruct multi-gray-level images based on circular blocks reconstruction method using two exact and fast moments: Zernike (CBR-EZM) and pseudo-Zernike (CBR-EPZM): An image is first divided into a set of sub-images which are then reconstructed independently. We also introduced Chamfer distance (CD) to capitalize on the use of discrete distance instead of Euclidean one. The combination of our methods and CD leads to CBR-EZM-CD and CBR-EPZM-CD methods. Obviously, image partitioning offers significant advantages, but an undesirable circular blocking effect can occur. To mitigate this effect, we have implemented overlapping feature to our new methods leading to OCBR-EZM-CD and OCBR-EPZM-CD, by exploiting neighborhood information of the circular blocks. The main motivation of this novel approach is to explore new applications of Zernike and pseudo-Zernike moments. One of the fields is feature extraction for pattern recognition: Zernike and pseudo-Zernike moments are well known to capture only the global features, but thanks to the circular block reconstruction, we can now use those moments to extract also local features. 相似文献
1