Depth map restoration from undersampled data
Depth map sensed by low-cost active sensor is often limited in resolution, whereas depth
information achieved from structure from motion or sparse depth scanning techniques may …
information achieved from structure from motion or sparse depth scanning techniques may …
Face-image retrieval based on singular values and potential-field representation
In this paper, an efficient method based on singular values and potential-field representation
is proposed for face-image retrieval. Firstly, we theoretically prove that the leading singular …
is proposed for face-image retrieval. Firstly, we theoretically prove that the leading singular …
Face age classification based on a deep hybrid model
L Chen, C Fan, H Yang, S Hu, L Zou… - Signal, Image and Video …, 2018 - Springer
Face age estimation, a computer vision task facing numerous challenges due to its potential
applications in identity authentication, human–computer interface, video retrieval and robot …
applications in identity authentication, human–computer interface, video retrieval and robot …
Face verification using template matching
AK Sao, B Yegnanarayana - IEEE Transactions on information …, 2007 - ieeexplore.ieee.org
Human faces are similar in structure with minor differences from person to person. These
minor differences may average out while trying to synthesize the face image of a given …
minor differences may average out while trying to synthesize the face image of a given …
Deep residual networks with a fully connected reconstruction layer for single image super-resolution
Y Tang, J Huang, F Zhang, W Gong - Neurocomputing, 2020 - Elsevier
Recently, deep neural networks have achieved impressive performance in terms of both
reconstruction accuracy and efficiency for single image super-resolution (SISR). However …
reconstruction accuracy and efficiency for single image super-resolution (SISR). However …
Edge preserving single image super resolution in sparse environment
Quality of an image is associated with edge of the image. It is important to preserve the edge
of the image while deriving high resolution (HR) image from low resolution (LR) image, also …
of the image while deriving high resolution (HR) image from low resolution (LR) image, also …
On the use of phase of the Fourier transform for face recognition under variations in illumination
AK Sao, B Yegnanarayana - Signal, image and video processing, 2010 - Springer
In this paper, we propose a representation of the face image based on the phase of the 2-D
Fourier transform of the image to overcome the adverse effect of illumination. The phase of …
Fourier transform of the image to overcome the adverse effect of illumination. The phase of …
Combining edge difference with nonlocal self-similarity constraints for single image super-resolution
W Gong, Y Tang, X Chen, Q Yi, W Li - Neurocomputing, 2017 - Elsevier
Sparse representation based nonlocal self-similarity methods have been proved to be
effective for single image super-resolution. However, as the noise level increases, these …
effective for single image super-resolution. However, as the noise level increases, these …
Face recognition using probabilistic neural networks
KV Vinitha, GS Kumar - 2009 World Congress on Nature & …, 2009 - ieeexplore.ieee.org
In this paper we address the problem of face detection and recognition of grey scale frontal
view images. We propose a face recognition system based on probabilistic neural networks …
view images. We propose a face recognition system based on probabilistic neural networks …
Employing structural and statistical information to learn dictionary (s) for single image super-resolution in sparse domain
It has been argued that structural information plays a significant role in the perceptual quality
of images, but the importance of statistical information cannot be neglected. In this work, we …
of images, but the importance of statistical information cannot be neglected. In this work, we …