1 De-Mystifying Digital Media by Daniel McEnnis. 2/39 Overview Analog Compared to Digital Metadata Online Buying Music Information Retrieval – Digital.
Knut Conradsen 1, Allan A. Nielsen 1, Henning Skriver 2 and Jesper Schou 3 Technical University of Denmark 1 Informatics and Mathematical Modelling 2 Ørsted.
Central Visual Processes. Anthony J Greene2 Central Visual Pathways I.Primary Visual Cortex Receptive Field Columns Hypercolumns II.Spatial Frequency.
Sources of Measurement Imprecision. Possible Areas for Measurement Errors Definition of what is to be measured “WIDTH or Dimater or Critical Dimension”
TP14 - Local features: detection and description Computer Vision, FCUP, 2014 Miguel Coimbra Slides by Prof. Kristen Grauman.
Analysis of Runner Biomechanics Using Edge Detection and Image Processing Techniques to Determine Pronation Levels Asa Kusuma.
CSC508 Convolution Operators. CSC508 Convolution Arguably the most fundamental operation of computer vision It’s a neighborhood operator –Similar to the.
CSSE463: Image Recognition Day 5 Lab 2 due Wednesday, 1:30. Lab 2 due Wednesday, 1:30. Tip: by Tues 1:30 + 1 late day to use on: Tip: by Tues 1:30
1 Inzell, Germany, September 17-21, 2007 Agnieszka Lisowska University of Silesia Institute of Informatics Sosnowiec, POLAND [email protected].
Uncertainty Representation. Gaussian Distribution variance Standard deviation.
Edge Detection. Our goal is to extract a “line drawing” representation from an image Useful for recognition: edges contain shape information –invariance.
Abdullah Algarni. What is Digital image? An image is a continuous function that has been discretized in spatial coordinates, brightness and color frequencies.