Hello, dear friend, you can consult us at any time if you have any questions, add WeChat: daixieit

CS/RBE 549 Computer Vision

Fall Semester 2021

Course Description:

This is a graduate-level course in computer vision: the principles and methods of making computing systems, including robots, aware of their environment from visual sensory information.

        Topics include: image formation, edge detection, segmentation, shape-from-shading, motion, stereo, texture analysis, pattern classification, and object recognition. We will discuss various representations for visual information, including depth maps, 3D point clouds, and feature maps.

Prerequisite Courses:

One of CS 534 Artificial Intelligence, CS 543 Computer Graphics, or CS/ECE 545 Image Processing, primarily so that students are comfortable with the concepts of pixels and image arrays. Familiarity with a recursive programming language is assumed.

Learning Outcomes:

It is expected that by the end of this course students will be able to:

● Understand the basic concepts of image sensing and image processing.

● Understand the pathways from image sensing to world representation.

● Demonstrate the application of Computer Vision concepts in the design of vision systems developed for a team project.

● Demonstrate effective teamwork and communication skills through evaluated participation in team presentations/projects.

Communication:

● Email: I will commit to respond within 48 hours, but will try to do better than that.

● Homework Return: I will get back to you in one week on homework problems.

● Office hours: Will be held virtually on Saturday 10-12pm or TBD.

● Discussion Forum: Please post general course questions to the Discussion Forum on Canvas. Please also check in frequently to view responses and to help answer questions posted by your classmates.

Course Approach:

This is an online course without synchronous sessions:

1. The course will begin on Wednesday August 25, 2021, continue for  weeks, and end on Friday December 10.

2. Each course week will begin at 6 PM on Wednesday, and end at noon on the following Tuesday. Lectures will be posted prior to the beginning of each week, and assessments are due by the end of each week.

3. The instructor will provide grades and comments for assignments not later than one week after the due date. Instructor comments to student assignments will include:

a. Specific comments provided via the online grading system.

b. General comments that apply universally to all or most of the students provided as supplements to the lecture material.

4. The course will be organized in modules – one module for each week. Each module will include readings, assessments, lectures (both recorded and pdf files), videos, and other course materials. All materials will be posted via the Canvas course site.

5. The modules are the organizational framework for this course; each module is designed to lead you through the various lectures and assessments contained within that module.

6. The course will proceed according to the course schedule, which identifies all lecture topics, assignments, discussion questions, and reading assignments.

7. Some of the assignments are team assignments. Students will form their project teams of 3 to 4 learners during the first week. Teams will be expected to collaborate on team assignments throughout the course.

Course Requirements:

1. Grade Determination Breakdown

2. Assessments

Weekly homework problems will be assigned and collected. You are encouraged to work together to solve assigned homework problems, but you must submit individual work, i.e., you cannot copy or use the same document files as another person.

        There will be two exams during the course; each exam will be open book and open notes, and you will have 3 hours to complete each exam, although it should take you approximately 1.5 hours. You will be on your honor to take each exam with no human assistance.

        Exam dates are Oct 8 and Dec 10.

3. Late Work Policy

Late work will generally not be accepted. If you have extenuating circumstances that require an extension for a deadline, please contact instructor BEFORE the due date to work out an arrangement; in such cases late work may be accepted, but there will be a grade penalty.

4. Class Participation Expectations and Criteria

The discussion board provides opportunities for you to make connections between the course’s content materials to develop understanding. Prompts are meant to help you discover what and how you are learning. A discussion board post should not be a summary of the content. Rather, it should show connections between the content and your life experiences and professional practices.

Technical Requirements:

If you experience technical difficulties with the Canvas platform, please reach out to them through the help button located in the bottom right corner of Canvas. If you require further assistance from someone at WPI, please contact the Help Desk at [email protected] or at (508) 831 –5888.

Additional technical tools may be required for installing software such as MATLAB, Python or C++.

Library Access:

As a student at WPI, you have access to a variety of resources through the library. Use the link here to access databases, e-journals, and/or e-books. You will be required to log in with your WPI username and password to access materials.

POLICIES

Academic Integrity:

You are expected to be familiar with the Student Guide to Academic Integrity at WPI that is downloadable from here. Consequences for violating the Academic Honest Policy range from earning a zero on the assignment, failing the course, or being suspended or expelled from WPI. Common examples of violations include:

● Copying and pasting text directly from a source without providing appropriately cited credit

● Paraphrasing, summarizing, or rephrasing from a source without providing appropriate citations

● Turning in work where a good portion of the work is someone else’s, even if properly cited

Academic Accommodations:

We at WPI strive to create an inclusive environment where all students are valued members of the class community. If you need course adaptations or accommodations because of a disability, or if you have medical information to share with us that may impact your performance or participation in this course, please make an appointment with us as soon as possible. If you have approved accommodations, please request your accommodation letters online through the Office of Disability Services student portal. If you have not already done so, students with disabilities who need to utilize accommodations for this course are encouraged to contact the Office of Disability Services as soon as possible to ensure that such accommodations are implemented in a timely fashion.

Email – acces[email protected]

Phone – (508) 831-4908

On Campus – Daniels Hall, First Floor 124

Grading Policy:

The precise numerical cutoffs for grading will be determined at the end of the semester, but those at risk of C or lower will receive an interim assessment after the first exam.

Last update: Aug 2021