Course Information

Instructor: Prof. Mani Golparvar-Fard
Office hours: Tue 5:00pm - 6:30pm or by appointment
Classroom: Newmark 2312 | Time: Tue Thu 3:30pm-5:00pm
Teaching Assistant: TBD | Office Hours: posted on Piazza

Course Overview

This course is an introduction to 2D and 3D visual sensing for data acquisition and analysis of buildings and civil infrastructure systems. It is intended mainly for graduate students who want to acquire basic understanding of the theoretical concepts as well as application of computer vision and image processing for sensing buildings, civil infrastructure systems and sustainable construction operations. Some of the topics introduced are:
a) Image-based 3D reconstruction of construction sites and building components
-- Including 2/3D computer vision topics in image formation, camera models, geometry of multiple views and shape reconstruction methods

b) Location and action tracking of construction equipment and personnel
-- Low-level image processing methodologies such as edge detection, and feature detection
-- Mid-level vision techniques such as segmentation, clustering, and filtering; and
-- Basic high-level vision techniques in equipment and personnel location tracking and action recognition

c) Semantic analysis and intelligent decision making of sustainable construction operation metrics
-- Transforming visual data into knowledge about performance metrics

The development of this course is sponsered by MathWorks. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the instructor and do not necessarily reflect the views of MathWorks.