MSc Thesis Defense Announcement by Shivani Pachika: "An Approach of Features Extraction and Heatmaps Generation Based upon CNNs and 3D Object Models "

Friday, September 27, 2019 - 13:00 to 15:00



The School of Computer Science at the University of Windsor is pleased to present


MSc Thesis Defense by:

Shivani Pachika
Date:  Friday September 27, 2019
Time:  1:00pm-3:00pm
Location: 3105, Lambton Tower


The rapid advancements in artificial intelligence have enabled recent progress of self-driving vehicles. However, the dependence on 3D object models and their annotations collected and owned by individual companies has become a major problem for the development of new algorithms. This thesis proposes an approach of directly using graphics models created from open-source datasets as the virtual representation of real-world objects. This approach uses Machine Learning techniques to extract 3D feature points and to create annotations from graphics models for the recognition of dynamic objects, such as cars, and for the verification of stationary and variable objects, such as buildings and trees. Moreover, it generates heat maps for the elimination of stationary/variable objects in real-time images before working on the recognition of dynamic objects. The proposed approach helps to bridge the gap between the virtual and physical worlds and to facilitate the development of new algorithms for self-driving vehicles.

Thesis Committee:

Chair: Dr. Asish Mukhopadhyay
Internal Reader: Dr. Alioune Ngom
External Reader: Dr. Myron Hlynka
Advisor: Dr. Xiaobu Yuan

Thesis Defense Announcement



5113 Lambton Tower, 401 Sunset Avenue, Windsor ON, N9B 3P4, (519)253-3000 Ext. 3716