Pinned Repositories
UNET-
Occlusion-detection-and-handling-in-stereo-images-
It is an image processing based project to find the occlusion in the stereo images where we have used the Semi Global Block Matching algorithm (SGBM) to determine the disparity map. The disparity map is nothing but the depth information related to the stereo images. After obtaining the disparity map we have calculated the number of occluded pixels in the obtained disparity map. Then the disparity map is refined using the post-processing technique which involves filling the occluded pixels with the help of the inpainting technique.
PDV
ABD
MLBD
MMA
ADS
FML
Laravel-Project
Online notice board and complaint management system is a web application which is built for the student and the head of the department to maintain the notices and the feedbacks provided by the student related to particular department. We have used Laravel- PHP framework for this project.
AAPS
Nidhi-S-Rao's Repositories
Nidhi-S-Rao/ScraperHub
Nidhi-S-Rao/ScraperHub.io
Nidhi-S-Rao/MDBD
Nidhi-S-Rao/MMA
Nidhi-S-Rao/AAPS
Nidhi-S-Rao/MLBD
Nidhi-S-Rao/java-tomcat-maven-example
Example Java + Maven Tomcat application
Nidhi-S-Rao/Plugin
Nidhi-S-Rao/PDV
Nidhi-S-Rao/basic-php-website
Nidhi-S-Rao/Groww-Analysis
Nidhi-S-Rao/Power-BI
Nidhi-S-Rao/UNET-
Nidhi-S-Rao/nodejsdockerdemo
Nidhi-S-Rao/APS
Nidhi-S-Rao/ADS
Nidhi-S-Rao/FML
Nidhi-S-Rao/ABD
Nidhi-S-Rao/C-Programs
Nidhi-S-Rao/Laravel-Project
Online notice board and complaint management system is a web application which is built for the student and the head of the department to maintain the notices and the feedbacks provided by the student related to particular department. We have used Laravel- PHP framework for this project.
Nidhi-S-Rao/Occlusion-detection-and-handling-in-stereo-images-
It is an image processing based project to find the occlusion in the stereo images where we have used the Semi Global Block Matching algorithm (SGBM) to determine the disparity map. The disparity map is nothing but the depth information related to the stereo images. After obtaining the disparity map we have calculated the number of occluded pixels in the obtained disparity map. Then the disparity map is refined using the post-processing technique which involves filling the occluded pixels with the help of the inpainting technique.
Nidhi-S-Rao/Cursor-movement
Nidhi-S-Rao/SVM
SVM for classification of iris flowers set
Nidhi-S-Rao/Face-recognition