most citedA Review on Near Duplicate Detection of Images using Computer Vision Techniques

66 citations · 224 across the 11 of their papers we have counts for

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cs.CV202010 cited

Micro-Facial Expression Recognition in Video Based on Optimal Convolutional Neural Network (MFEOCNN) Algorithm

S. D. Lalitha, K. K. Thyagharajan

Facial expression is a standout amongst the most imperative features of human emotion recognition. For demonstrating the emotional states facial expressions are utilized by the peo…

cs.CV20205 cited

A Study on Lip Localization Techniques used for Lip reading from a Video

S. D. Lalitha, K. K. Thyagharajan

In this paper some of the different techniques used to localize the lips from the face are discussed and compared along with its processing steps. Lip localization is the basic ste…

cs.CV202043 cited

Efficient DWT-based fusion techniques using genetic algorithm for optimal parameter estimation

S. Kavitha, K. K. Thyagharajan

Image fusion plays a vital role in medical imaging. Image fusion aims to integrate complementary as well as redundant information from multiple modalities into a single fused image…

cs.CV20208 cited

Features based Mammogram Image Classification using Weighted Feature Support Vector Machine

S. Kavitha, K. K. Thyagharajan

In the existing research of mammogram image classification, either clinical data or image features of a specific type is considered along with the supervised classifiers such as Ne…

cs.CV202047 cited

A Review of Visual Descriptors and Classification Techniques Used in Leaf Species Identification

K. K. Thyagharajan, I. Kiruba Raji

Plants are fundamentally important to life. Key research areas in plant science include plant species identification, weed classification using hyper spectral images, monitoring pl…

cs.CV202014 cited

Micro-Facial Expression Recognition Based on Deep-Rooted Learning Algorithm

S. D. Lalitha, K. K. Thyagharajan

Facial expressions are important cues to observe human emotions. Facial expression recognition has attracted many researchers for years, but it is still a challenging topic since e…