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University of Kansas (KU)

Prof. Brian Potetz - Study notes

The content listed below has not been created by Brian Potetz

Electrical and Electronics Engineering

Scanning Electron Microscope Image Acquisition - Notes | EECS 841

13 pag.

2009

Normalized Cuts and Image Denoising: A Multi-scale Approach to Scene Understanding - Prof.

6 pag.

2009

Content Based Image Retrieval - Computer Vision - Slides | EECS 841

13 pag.

2009

EECS-841 Homework 2: Celebrity Look-Alikes using Eigenfaces - Prof. Brian Potetz

3 pag.

2009

EECS-841 Homework 1: Image Processing and Analysis - Prof. Brian Potetz

4 pag.

2009

Content Based Image Search - Computer Vision | EECS 841

12 pag.

2009

Lecture Slides on Optical Flow – Computer Vision | EECS 841

5 pag.

2009

Computing Surface Normals and Albedo Values for 3D Scene Reconstruction - Prof. Brian Pote

5 pag.

2009

Graph Cuts: Using the Max-Flow Min-Cut Theorem to Optimize Markov Random Fields - Prof. Br

5 pag.

2009

Lecture Slides on Finishing Gibbs Sampling Starting on Modern Object Recognition | EECS 841

5 pag.

2009

Lecture Slides on SIFT Features – Computer Vision | EECS 841

7 pag.

2009

Deformable Templates for Object Recognition: A Statistical Approach - Prof. Brian Potetz

4 pag.

2009

Optical Flow: Understanding and Computing with Constraint Equations - Prof. Brian Potetz

7 pag.

2009

Computing Surface Normals and Lambertian Reflectance Map - Prof. Brian Potetz

8 pag.

2009

Complex Analysis: Fourier Transform and Convolution - Prof. Brian Potetz

11 pag.

2009

Finding Circles using Hough Transform - Prof. Brian Potetz

4 pag.

2009

MATLAB Script for Image Processing - Prof. Brian Potetz

1 pag.

2009

Function Definition and Multiplication using Anonymous Functions in Python - Prof. Brian P

7 pag.

2009

Photometric Stereo - Homework 3 | Computer Vision | EECS 841

3 pag.

2009

Optimization of Curve Deformations: Minimizing Energy Functions and Costs - Prof. Brian Po

5 pag.

2009

Identification of Noise in Images: Statistical Parameters and Denoising Algorithms - Prof.

6 pag.

2009

Lecture Slides on Hough Transform - Computer Vision - Notes | EECS 841

7 pag.

2009

Efficient Algorithm for Preserving Texture & Structure by Removing Large Objects in Images

13 pag.

2009

Image Processing: Edge Detection using Canny Algorithm and Image Pyramids - Prof. Brian Po

9 pag.

2009

Texture Synthesis by Non-parametric Sampling: A Method by Efros and Leung - Prof. Brian Po

6 pag.

2009

Stereo Matching and Optical Flow Estimation Techniques - Prof. Brian Potetz

6 pag.

2009

Shape From Shading: A Survey of Techniques and Challenges - Prof. Brian Potetz

6 pag.

2009

Mathematical Modeling: Minimizing Energy Function of a Curve - Prof. Brian Potetz

2 pag.

2009

Object Recognition from Local Scale Invariant Features - Handout | EECS 841

8 pag.

2009

Hough Transform for Line and Circle Detection - Prof. Brian Potetz

10 pag.

2009

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