KRISTIN LAM REU WEEKS 1 & 2. MATERIAL COVERED MATLAB basics Edge Detection Harris Corner Detector...
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Transcript of KRISTIN LAM REU WEEKS 1 & 2. MATERIAL COVERED MATLAB basics Edge Detection Harris Corner Detector...
K R I S T I N L A M
REU WEEKS 1 & 2
MATERIAL COVERED
•MATLAB basics• Edge Detection•Harris Corner Detector• Adaboost Face Detection•Optical Flow• Lucas-Kanade Method• Bag of Features
EDGE DETECTION
• Finds the boundaries of objects• Edges are defined by the discontinuity of
intensities in the image• Common Edge Detectors• Canny• Sobel• Laplacian of Gaussian
CANNY
SOBEL
LAPLACIAN OF GAUSSIAN
EDGE DETECTION ASSIGNMENT
FINDING THE GRADIENT
Calculate the gradient of the image.
THRESHOLDING
Pick a threshold and binarize it to get edges that describe the image well.
PYRAMIDS
Create a pyramid of the image with 3 levels.
HARRIS CORNER DETECTOR
• In addition to edges, corners are used to find matching points between different frames.• The corner represents the point where two edges
change.• The gradient of the image in both directions will
have a high variation, which can be detected.
HARRIS CORNER DETECTOR
ADABOOST FACE DETECTION
OPTICAL FLOW
• Pattern of apparent motion of objects, surfaces, and edges caused by the relative motion between the observer and the scene• Can be used to measure velocities of objects• Lucas-Kanade method• Assumes displacement of the object between two frames
is small• Uses “Least Squares,” a statistical method that limits the
distance between a function and the data points of that function
OPTICAL FLOW
LUCAS-KANADE
BAG OF FEATURES
• Technique for the visual classification of objects and categories of objects/textures
POTENTIAL PROJECTS
•Multi-Target Tracking with Social Behavior Model by Yicong Tian•Multimodal Data Analysis for the Detection of Attention Deficit Hyperactive Disorder by Soumyabrata Dey