scholarly journals SeMatching: Using Semantics to Perform Pair Matching in Mentoring Processes

Author(s):  
Ricardo Colomo-Palacios ◽  
Juan Miguel Gómez-Berbís ◽  
Ángel García-Crespo ◽  
Myriam Mencke
Keyword(s):  
Author(s):  
Deniz Engin ◽  
Hazim Kemal Ekenel ◽  
Bilgisayar Muhendisligi Bolumu

2015 ◽  
Vol 742 ◽  
pp. 290-293
Author(s):  
Xiu Zhi Li ◽  
Ai Lin Yang ◽  
Huan Qiu ◽  
Song Min Jia

This paper presents a technique for monocular Structure from Motion (SFM) that reconstructs 3D world shape. The technique proposed uses optical flow for 2D pixel pair matching and Angular Bundle Ajustment (ABA) for 3D structure refinement. The proposed strategy has two main advantages. Firstly, optical flow fields provide sufficient dense correspondence of image point pairs and secondly, ABA outperforms classic BA variants, especially for the points relatively far from camera. The reconstruction results obtained in realistic scenario demonstrate the effectiveness and accuracy of the proposed algorithm.


2017 ◽  
Vol 77 (4) ◽  
pp. 4677-4695 ◽  
Author(s):  
Wien Hong ◽  
Meijin Chen ◽  
Tung Shou Chen ◽  
Chien-Che Huang

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 40325-40333 ◽  
Author(s):  
Eunsung Oh ◽  
Sung-Yong Son
Keyword(s):  

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Yu Xiao ◽  
Tao Wu ◽  
Yiwen Li ◽  
Xinping Ma ◽  
Yijie Huang

This paper has made proposition of a nested array and an estimation algorithm for direction-of-arrival (DOA) of two-dimensional (2D) coherently distributed (CD) sources. According to the difference coarray concept, double parallel hole-free virtual uniform linear arrays are generated by virtue of vectorization operation on cross-correlation matrices of subarrays. Sensor coordinates of virtual arrays are derived. Rational invariance relationships of virtual arrays are derived. According to the rotational invariance relationships, matrices satisfying rotation invariance are constructed by extracting and regrouping the receive vectors of the virtual arrays, and then an estimation of signal parameters via rotational invariance techniques- (ESPRIT-) like framework on matrix reconstruction is deduced. Optimal configuration of the nested array as well as computational complexity are analyzed. Without pair matching, the proposed method can resolve more sources than the sensor number. Simulation outcomes indicate that the proposed method tends to have a better performance as compared to the traditional uniform arrays that have similar number of sensors.


2014 ◽  
Vol 34 (6) ◽  
pp. 999-1011 ◽  
Author(s):  
Laura B. Balzer ◽  
Maya L. Petersen ◽  
Mark J. van der Laan ◽  

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