Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Xingzhi Luo"'
Autor:
Fengbing He, Xingzhi Luo, Fan Meng, Jiarui Chen, Chaohao Liang, Yiqing Zhang, Shutong Liu, Zishan Yuan, Wuyu Zhang, Yanping He, Jian Zhang
Publikováno v:
Heliyon, Vol 10, Iss 3, Pp e25066- (2024)
This study describes a method for real-time examination of the microvascular system based on the three-dimensional photoacoustic imaging system to prevent arterial complications, especially vascular embolism, during hyaluronic acid (HA) injections. C
Externí odkaz:
https://doaj.org/article/9552329276af428e9b68d89c7f47db4a
Autor:
Wuyu Zhang, Xingzhi Luo, Fei Yang, Zhuangzhuang Tong, Jiaxi Liang, Bo Yuan, Sihua Yang, Zhiyang Wang
Publikováno v:
Journal of Biophotonics.
Autor:
Suchendra M. Bhandarkar, Xingzhi Luo
Publikováno v:
Computer Vision and Image Understanding. 113:708-725
The design and implementation of a multiple face tracking framework that integrates face detection and face tracking is presented. Specifically, the incorporation of a novel proposal distribution and object shape model within the face tracking framew
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 5:677-695
An automated system for planning and optimization of lumber production using Machine Vision and Computed Tomography (CT) is proposed. Cross-sectional CT images of hardwood logs are analyzed using machine vision algorithms. Internal defects in the har
Publikováno v:
Pattern Analysis and Applications. 9:155-175
A novel feature-based tracking approach based on the Kalman filter is proposed for the detection, localization, and 3-D reconstruction of internal defects in hardwood logs from cross-sectional computer tomography (CT) images. The defects are simultan
Publikováno v:
Pattern Recognition Letters. 26:2282-2294
Computer Tomography (CT) is being increasingly employed for automated detection and localization of internal defects in logs prior to their sawing. Reliable detection and localization of cracks in CT images of logs is particularly important from the
Autor:
Xingzhi Luo, Bhandarkar, S.M.
Publikováno v:
IEEE Conference on Advanced Video & Signal Based Surveillance, 2005; 2005, p123-128, 6p
Autor:
Suchendra M. Bhandarkar, Xingzhi Luo
Publikováno v:
Dynamical Vision ISBN: 9783540709312
WDV
WDV
A novel hybrid region-based and contour-based multiple object tracking model using optical flow based elastic matching is proposed. The proposed elastic matching model is general in two significant ways. First, it is suitable for tracking of both, ri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4e79c01ad8dd2ccc3b08adaef6255f3
https://doi.org/10.1007/978-3-540-70932-9_16
https://doi.org/10.1007/978-3-540-70932-9_16
Publikováno v:
2007 IEEE Workshop on Motion and Video Computing (WMVC'07).
Detection of stationary foreground objects within a dynamic scene is one of the goals of a video surveillance system. A parametric background maintenance and updating scheme, based on a multiple Gaussian mixture model that operates on multiple time s
Autor:
Suchendra M. Bhandarkar, Xingzhi Luo
Publikováno v:
AVSS
A novel region-based multiple object tracking framework based on Kalman filtering and elastic matching is proposed. The proposed Kalman filtering-elastic matching model is general in two significant ways. First, it is suitable for tracking of both, r