Search Results - "Venkatesh, Y.V."

Facial expression recognition using radial encoding of local Gabor features and classifier synthesis by Gu, Wenfei, Xiang, Cheng, Venkatesh, Y.V., Huang, Dong, Lin, Hai

“…Primarily motivated by some characteristics of the human visual cortex (HVC), we propose a new facial expression recognition scheme, involving a statistical…”
Get full text

Identification of different stages of diabetic retinopathy using retinal optical images by Yun, Wong Li, Rajendra Acharya, U., Venkatesh, Y.V., Chee, Caroline, Min, Lim Choo, Ng, E.Y.K.

“…Diabetes is a disease which occurs when the pancreas does not secrete enough insulin or the body is unable to process it properly. This disease affects slowly…”
Get full text

Multiple contour extraction from graylevel images using an artificial neural network by Venkatesh, Y.V., Raja, S.K., Ramya, N.

“…For active contour modeling (ACM), we propose a novel self-organizing map (SOM)-based approach, called the batch-SOM (BSOM), that attempts to integrate the…”
Get full text

Segmentation of color images using a two-stage self-organizing network by Ong, S.H, Yeo, N.C, Lee, K.H, Venkatesh, Y.V, Cao, D.M

“…We propose a two-stage hierarchical artificial neural network for the segmentation of color images based on the Kohonen self-organizing map (SOM). The first…”
Get full text

On the Application of a Modified Self-Organizing Neural Network to Estimate Stereo Disparity by Venkatesh, Y.V., Raja, S.K., Kumar, A.J.

“…We propose a modified self-organizing neural network to estimate the disparity map from a stereo pair of images. Novelty consists of the network architecture…”
Get full text

Multisensor image fusion using influence factor modification and the ANOVA methods by Li Yiyao, Venkatesh, Y.V., Chi Chung Ko

“…A new scheme is proposed for fusing multisensor images in which one image is regarded as the main image and the other the complementary; based on the…”
Get full text

On improving Popov's criterion for nonlinear feedback system stability by Venkatesh, Y.V.

“…For the L 2 -stability of a nonlinear single-input-single-output (SISO) feedback system, described by an integral equation and with the forward block transfer…”
Get full text

A novel approach to classification of facial expressions from 3D-mesh datasets using modified PCA by Venkatesh, Y.V., Kassim, Ashraf A., Ramana Murthy, O.V.

“…We propose a novel approach to human facial expression recognition using only the shape information at a finite set of fiducial points, extracted from the 3D…”
Get full text

Frequency-domain L 2-stability conditions for switched linear and nonlinear SISO systems by Huang, Z.H., Venkatesh, Y.V., Xiang, C., Lee, T.H.

“…We consider the L 2 -stability analysis of single-input-single-output (SISO) systems with periodic and nonperiodic switching gains and described by integral…”
Get full text

Colour image segmentation using the self-organizing map and adaptive resonance theory by Yeo, N.C., Lee, K.H., Venkatesh, Y.V., Ong, S.H.

“…We propose a new competitive-learning neural network model for colour image segmentation. The model, which is based on the adaptive resonance theory (ART) of…”
Get full text

Understanding gestures with systematic variations in movement dynamics by Ong, Sylvie C.W., Ranganath, Surendra, Venkatesh, Y.V.

“…Sign language communication includes not only lexical sign gestures but also grammatical processes which represent inflections through systematic variations in…”
Get full text

On the classification of multispectral satellite images using the multilayer perceptron by Venkatesh, Y.V., Kumar Raja, S.

“…For classifying multispectral satellite images, a multilayer perceptron (MLP) is trained using either (i) ground truth data or (ii) the output of a K-means…”
Get full text

Encoding and recognition of faces based on the human visual model and DCT by Ramasubramanian, D., Venkatesh, Y.V.

“…For encoding and recognizing human faces in monochrome images, we propose a new method based on a combination of the discrete cosine transform (DCT), principal…”
Get full text

An integrated automatic face detection and recognition system by Hock Koh, Lian, Ranganath, Surendra, Venkatesh, Y.V.

“…This paper proposes an integrated system for unconstrained face recognition in complex scenes. The scale and orientation tolerant system comprises a face…”
Get full text

Self-organizing neural networks based on spatial isomorphism for active contour modeling by Venkatesh, Y.V, Rishikesh, N

“…The problem considered in this paper is how to localize and extract object boundaries (salient contours) in an image. To this end, we present a new active…”
Get full text

A knowledge-based neural network for fusing edge maps of multi-sensor images by Yiyao, L, Venkatesh, Y.V, Ko, C.C

“…With the goal of fusion prescribed as building an edge map that contains as many edges as possible from the given multi-spectral/sensor images, a new fusion…”
Get full text

A computational model for the development of simple-cell receptive fields spanning the regimes before and after eye-opening by Rishikesh, N., Venkatesh, Y.V.

“…Motivated by the possible existence of post-natal cortical plasticity, we analyze Miller's (J. Neurosci. 14 (1994) 409–441) correlation-based plasticity…”
Get full text

Shape recognition using an invariant pulse code and a hierarchical, competitive neural network by Rishikesh, N., Venkatesh, Y.V.

“…The paper deals with the invariant recognition of patterns, and aims at developing (i) their pulse-coded representation; and (ii) an algorithm for their…”
Get full text

Stereo-disparity estimation using a supervised neural network by Venkatesh, Y.V., Venkatesh, B.S., Java Kumar, A.

“…We deal with the problem of determining disparity in gray-level stereoimage-pairs, by treating it as a nonlinear classification problem, and invoking Marr and…”
Get full text

Deblurring Gaussian blur using a wavelet array transform by Vairy, Madhu, Venkatesh, Y.V.

“…Deblurring the Gaussian blur, which is a fundamental problem of signal analysis, has defined a satisfactory solution. The principal reason for the difficulty…”
Get full text