State University of New York at Buffalo
CSE 473/573
Fall 2013 Homework Set #3
Date: Monday October 18, 2013; Due: Monday November 1, 2013 at the start of Class
Name: _ Student Number: _
Problem (1) (Gaussian Pyramid MATLAB) 50%
Gaussian pyramid is commonl
Problem 1
We know that T =
L= =
(a) x(t) = cos(4 t)
According to the definition of Fourier Series
()
(
when n=0,
)
, when n=1,
()
and
(
)
, when n>1,
cfw_
, then
cfw_
for y(t) = sin(4 t), we get
(b) x(t) + y(t) = cos(4 t) + sin(4 t)
()
(
)
()
and
()
(
)
)
State University of New York at Buffalo
CSE 473/573
Fall 2013 Homework Set #1
Assignment Date: Friday September 13, 2013; Due: Friday September 27, 2013 at 3:00PM
Name: _ Student Number: _
Problem (1)
(Fourier Series) 20%
Consider the following three cont
CSE473/573 Final Project - Project 1 Guidelines
November 24, 2015
1
Selection of Wavelet Filters
There are several wavelet families that are suitable for edge detection. Some
of the most popular ones are Haar, Bi-orthogonal (BiOr), Daubechies (DB),
Coiets
CSE 473/573: Computer Vision and Image Processing
Guide to Project Status Report Fall 2015
Your Project Status Report should include the first 5 items:
1. Project Team Information:
a. Project team information should include the project title, your
name an
State University of New York at Buffalo
CSE 473/573
Fall 2015 Homework Set #4
Date: Friday November 13, 2015; Due: Monday November 30, 2015 at the start of Class
Name: _ Student Number: _
Notice: Python programming for the following problems is preferred.
State University of New York at Buffalo
CSE 473/573
Fall 2015 Homework Set #5
Date: Wednesday December 2, 2015; Due: Friday December 11, 2015 at the start of Class
Name: _ Student Number: _
Problem (1) (Mathematical Morphology) 50%
The following matrix re
State University of New York at Buffalo
CSE 473/573
Fall 2015 Final Projects
Status Report (1-2 pages) Due: 3:00pm Monday November 23, 2015
Final Report Due: 12:00noon Monday December 14, 2015
Instruction:
a) Each student is allowed to either work alone o
State University of New York at Buffalo
CSE 473/573 Fall 2015 Homework Set #2
Date: Monday October 12, 2015; Due: Wednesday October 21I 2015 at 3:00PM
Name: Student Number:
General Instruction: All problems are to be carried out manually with labeling on
CSE473/573:
Introduction to Computer Vision and
Image Processing
Chapter 4
(Textbook Chapter 4 + Supplement)
Chang Wen Chen
University at Buffalo, State University of New York
1
Importance of Data Structure
Any computer program consists of two most bas
CSE473/573 Quiz 1,2 and 3 Answers
October 22, 2015
1
1.1
Quiz 1
Briey explain how a two-camera system obtains the
depth information from a pair of stereo images
Depth of the objects in scene can be estimated by computing disparity in images
given its foca
CSE473/573 Midterm Review Session 1
Radhakrishna Dasari
University at Bualo
radhakri@bualo.edu
October 19, 2015
Radhakrishna Dasari (University at Bualo)
CSE473/573 Midterm Review Session 1
October 19, 2015
1 / 20
Outline of Todays session
A quick note on
CSE473/573:
Introduction to Computer Vision and
Image Processing
Chapter 2
(Textbook Chapters 2 + Supplement)
Chang Wen Chen
University at Buffalo, State University of New York
1
Image Acquisition from 3D Scene
2
From Images to Recognition
Edges
Scene/O
CSE473/573:
Introduction to Computer Vision and
Image Processing
Chapter 3
(Textbook Chapters 3 + Supplement)
Chang Wen Chen
University at Buffalo, State University of New York
1
Signal Representation by Sinusoids:
Fourier Analysis
2
From Images to Reco
CSE473/573 Final Project - Mean Shift and Hough
Circles
Radhakrishna Dasari
University at Bualo
radhakri@bualo.edu
November 30, 2015
Radhakrishna Dasari (University at Bualo) CSE473/573 Final Project - Mean Shift and Hough Circles
November 30, 2015
1 / 16
Problem Set 4 - Hints
November 19, 2015
1
DoG, LoG and Zero Crossings
Zero-crossings of the second derivative are more robust than small-size
gradient detectors and can be calculated as a Laplacian of Gaussians (LoG)
or as a dierence of Gaussians (DoG)
State University of New York at Buffalo
CSE 473/573
Fall 2015 Homework Set #2
Date: Monday October 12, 2015; Due: Wednesday October 21, 2015 at 3:00PM
Name: _ Student Number: _
General Instruction: All problems are to be carried out manually with labeling
CSE473/573:
Introduction to Computer Vision and
Image Processing
Chapter 5
(Textbook Chapter 5 + Supplement)
Chang Wen Chen
University at Buffalo, State University of New York
1
Pixel Brightness Transformations 5.1
2
Brightness Correction
The process o
CSE473/573:
Introduction to Computer Vision and
Image Processing
Chapter 2
(Textbook Chapters 2 + Supplement)
Chang Wen Chen
University at Buffalo, State University of New York
1
Image Acquisition from 3D Scene
2
From Images to Recognition
Edges
Scene/O
CSE473/573:
Introduction to Computer Vision and
Image Processing
Chapter 7
(Textbook Chapter 13.1-13.5)
Chang Wen Chen
University at Buffalo, State University of New York
1
Basic Morphological Concepts 13.1-2
2
Mathematical Morphology Origin
Initially
CSE473/573:
Introduction to Computer Vision and
Image Processing
Chapter 4
(Textbook Chapter 4 + Supplement)
Chang Wen Chen
University at Buffalo, State University of New York
1
Importance of Data Structure
Any computer program consists of two most bas
CSE473/573:
Introduction to Computer Vision and
Image Processing
Chapter 3
(Textbook Chapters 3 + Supplement)
Chang Wen Chen
University at Buffalo, State University of New York
1
Signal Representation by Sinusoids:
Fourier Analysis
2
From Images to Reco
CSE473/573:
Introduction to Computer Vision and
Image Processing
Chapter 1
Chang Wen Chen
University at Buffalo, State University of New York
1
Computer Vision and Image Processing
Computer vision algorithm from a laymans perspective:
Input to the alg
Problem Set 3 - FAQ and Hints
October 30, 2015
Bonus of 20% if you correctly implement the assignment without
using library functions for convolution and histogram. This bonus
will be added to the points you may have lost on homeworks 1, 2
1
1D and 2D Con
CSE473/573 Problem Set 1 Solutions
October 13, 2015
1
Question 1
For this question the coecients are expressed in the exponential form.
1.1
a)
Given, fundamental period L = 1 .
4
The function x(t) = cos 2t the coecients cn is given by,
cnx =
1
L
L/2
x(t)e
State University of New York at Buffalo
CSE 473/573
Fall 2015 Homework Set #1
Assignment Date: Monday September 28, 2015; Due: Monday October 12, 2015 at 3:00PM
Name: _ Student Number: _
Problem (1)
(Fourier Series) 20%
Consider the following three contin
CSE473/573:
Introduction to Computer Vision and
Image Processing
Chapter 1
Chang Wen Chen
University at Buffalo, State University of New York
1
Computer Vision and Image Processing
Computer vision algorithm from a laymans perspective:
Input to the alg
State University of New York at Buffalo
CSE 473/573
Fall 2015 Homework Set #2
Date: Monday October 26, 2015; Due: Wednesday November 04, 2015 at 3:00PM
General Instruction: Use Python as the programming language. Submit your code and a report
in PDF docum
CSE473/573:
Introduction to Computer Vision and
Image Processing
Chapter 6
(Textbook Chapters 6 & 7 + More)
Chang Wen Chen
University at Buffalo, State University of New York
1
General Segmentation Concepts
2
General Concepts in Segmentation
Image segm
CSE473/573:
Introduction to Computer Vision and
Image Processing
Chapter 4
(Textbook Chapter 4 + Supplement)
Chang Wen Chen
University at Buffalo, State University of New York
1
Importance of Data Structure
Any computer program consists of two most bas
CSE473/573:
Chapter 6:
Image Segmentation Techniques
(Textbook Chapters 6 & 7 + More)
Chang Wen Chen
University at Buffalo, State University of New York
1
From Images to Recognition
Edges
Scene/Object
Recognition
Computed
Objects
Shapes
Images
with
Featu
CSE473/573:
Chapter 8:
Image Understanding Fundamentals
(Textbook Chapter 10)
Chang Wen Chen
University at Buffalo, State University of New York
1
Image Understanding Basics
2
Image Understanding Basics
Earlier chapters have studied necessary building
b
CSE473/573:
Introduction to Computer Vision and
Image Processing
Chapter 8
(Textbook Chapter 10)
Chang Wen Chen
University at Buffalo, State University of New York
1
Image Understanding Basics
2
Image Understanding Basics
Earlier chapters have studied
CSE473/573:
Introduction to Computer Vision and
Image Processing
Chapter 5
(Textbook Chapter 5 + Supplement)
Chang Wen Chen
University at Buffalo, State University of New York
1
Pixel Brightness Transformations 5.1
2
Brightness Correction
The process o
CSE473/573:
Introduction to Computer Vision and
Image Processing
Chapter 7
(Textbook Chapter 13.1-13.5)
Chang Wen Chen
University at Buffalo, State University of New York
1
Basic Morphological Concepts 13.1-2
2
Mathematical Morphology Origin
Initially