Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Pradipta K. Banerjee"'
Publikováno v:
2019 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE).
In recent times, integration of distributed energy resources with conventional power networks has been increased rapidly and with that several interlinking converters and power electronic devices are there. This increases the complexity of the system
Autor:
Pradipta K. Banerjee, Tiash Ghosh
Publikováno v:
Proceedings of 3rd International Conference on Computer Vision and Image Processing ISBN: 9789813290877
CVIP (1)
CVIP (1)
This paper proposes a novel method of designing a correlation filter for frequency domain pattern recognition. The proposed correlation filter is designed with linear regression technique and termed as linear regression correlation filter. The design
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3add435d231fd901a1a91f207a26cb8
https://doi.org/10.1007/978-981-32-9088-4_32
https://doi.org/10.1007/978-981-32-9088-4_32
Autor:
Asit K. Datta, Pradipta K. Banerjee
Publikováno v:
Signal, Image and Video Processing. 11:9-16
The paper proposes a band-pass correlation filter in frequency domain for frontal face recognition task under both poor illumination and noisy condition. The band-pass nature of the proposed filter is achieved through combination of a modified high-p
Autor:
Pradipta K. Banerjee, Tiash Ghosh
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811391835
RTIP2R (2)
RTIP2R (2)
An approach of class specific representation based learning for illumination tolerant face recognition is reported in this paper. Autoencoder based representation and class specific reconstruction along with phase correlation in frequency domain for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::421af20e66354659ad78a3cc416ee091
https://doi.org/10.1007/978-981-13-9184-2_47
https://doi.org/10.1007/978-981-13-9184-2_47
Publikováno v:
2018 IEEE Applied Signal Processing Conference (ASPCON).
An unconstrained band-pass optimized correlation filter(UBoCF) is proposed for illumination invariant and noise tolerant face recognition. A wavelet filter is combined with high-pass filter to achieve the band-pass filter. Proposed high-pass filter i
Autor:
Pradipta K. Banerjee, Asit K. Datta
Publikováno v:
Pattern Recognition Letters. 36:177-185
A frequency domain nonlinear correlation technique for face recognition under varying lighting conditions is proposed. The technique is based on phase correlation between an optimum projecting image correlation filter and an optimum reconstructed ima
Autor:
Asit K. Datta, Pradipta K. Banerjee
Publikováno v:
Optics & Laser Technology. 50:33-42
An optimized preferential digital–optical correlator is proposed for multi-class face recognition, where false rejection rate and false acceptance rate are improved by incorporating the information preferentially of both intra-class and other class
Autor:
Asit K. Datta, Pradipta K. Banerjee
Publikováno v:
Optik - International Journal for Light and Electron Optics. 124:3173-3179
This paper presents a technique of frequency domain correlation for illumination tolerant face recognition. A pair of correlation filters are generated from input image projected onto class specific subspace, called optimum projecting image correlati
Autor:
Asit K. Datta, Pradipta K. Banerjee
Publikováno v:
Optics & Laser Technology. 45:217-227
The paper proposes an improved strategy for face recognition using correlation filter under varying lighting conditions and occlusion where spatial domain preprocessing is carried out by two convolution kernels. The first convolution kernel is a cont
Publikováno v:
Journal of the Textile Institute. 101:699-706
Basic morphological operations such as the erosion, dilation, opening, and closing often fail to detect various types of defects that may be present in woven fabric, mainly because of the heuristic selection of structuring element needed for these op