Impact Factor
7.883
Call For Paper
Volume 12 Issue 07
July 2026
Download Paper Format
Copyright Form
Author(s)
Mr.B.Jeevanantham Ms.S.Sabaria
Abstract
In This Paper, We Introduce A New Virtual Try-On System With The Addition Of An Explainable Suitability Analysis Framework. Our Virtual Try-On System Allows Users To Virtually Try On Clothes With Images Using A Seven-stage Pipeline. Our Approach Differs From Existing Virtual Try-On Systems In Its Use Of A Neuro-symbolic Approach To Analyze The Suitability Of An Outfit Based On Different Occasions. We Have Used Visual Features Like Color, Texture, And Silhouette To Analyze The Suitability Of An Outfit With The Help Of A Rule-based Engine. Our Approach Combines Image Generation With Intelligent Decision- Making.
Keywords
Virtual Try-On
Computer Vision
Explainable AI (XAI)
Neuro-Symbolic AI
Thin Plate Spline (TPS)
Human Pose Estimation
Image Segmentation
Deep Learning
Feature Extraction
Rule-Based System
Fashion Recommendation
Cat VTON
Local Binary Patterns (LB
Paper ID
IJSARTV12I4104842
Publication Date
April 2, 2026
Research Area
Computer Applications