Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Chakraborty, Soumendu"'
Feature description is one of the most frequently studied areas in the expert systems and machine learning. Effective encoding of the images is an essential requirement for accurate matching. These encoding schemes play a significant role in recognit
Externí odkaz:
http://arxiv.org/abs/2201.00518
Publikováno v:
Pattern Recognition Letters, vol-115, pp.50-58, (2018). (Elsevier) ISSN/ISBN: 0167-8655
Facial features are defined as the local relationships that exist amongst the pixels of a facial image. Hand-crafted descriptors identify the relationships of the pixels in the local neighbourhood defined by the kernel. Kernel is a two dimensional ma
Externí odkaz:
http://arxiv.org/abs/2201.00511
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology, vol-28, no-1, pp. 171-180, (2018). ISSN/ISBN: 1051-8215
Local descriptors used in face recognition are robust in a sense that these descriptors perform well in varying pose, illumination and lighting conditions. Accuracy of these descriptors depends on the precision of mapping the relationship that exists
Externí odkaz:
http://arxiv.org/abs/2201.00509
In this paper R-Theta Local Neighborhood Pattern (RTLNP) is proposed for facial image retrieval. RTLNP exploits relationships amongst the pixels in local neighborhood of the reference pixel at different angular and radial widths. The proposed encodin
Externí odkaz:
http://arxiv.org/abs/2201.00504
Image steganography is the art of hiding secret message in grayscale or color images. Easy detection of secret message for any state-of-art image steganography can break the stego system. To prevent the breakdown of the stego system data is embedded
Externí odkaz:
http://arxiv.org/abs/2201.01277
Publikováno v:
Multimedia Tools and Applications, vol-76, no-1, pp. 1201-1216, (2017). (Springer) ISSN/ISBN: 1573-7721
In this paper a local pattern descriptor in high order derivative space is proposed for face recognition. The proposed local directional gradient pattern (LDGP) is a 1D local micropattern computed by encoding the relationships between the higher orde
Externí odkaz:
http://arxiv.org/abs/2201.01276
Publikováno v:
Computers & Electrical Engineering, vol-62, pp. 92-104, (2017). (Elsevier) ISSN/ISBN: 0045-7906
In this paper a novel hand crafted local quadruple pattern (LQPAT) is proposed for facial image recognition and retrieval. Most of the existing hand-crafted descriptors encodes only a limited number of pixels in the local neighbourhood. Under unconst
Externí odkaz:
http://arxiv.org/abs/2201.01275
Autor:
Dwivedi, Pulkit, Chakraborty, Soumendu
Publikováno v:
In Journal of Visual Communication and Image Representation December 2024 105
Publikováno v:
Multimedia Tools and Applications, vol-79, no-27-28, pp. 19561-19574, 2020
Steganography methods in general terms tend to embed more and more secret bits in the cover images. Most of these methods are designed to embed secret information in such a way that the change in the visual quality of the resulting stego image is not
Externí odkaz:
http://arxiv.org/abs/2101.06383