UCF REU: Weeks 1 & 2
description
Transcript of UCF REU: Weeks 1 & 2
UCF REU:Weeks 1 & 2
GradientCode
Gradient
Direction of the Gradient:Calculating theta
Picking a threshold for the gradient map
Subtract the gradient from the original image display
it
Detailing oncamera
Edge Detection
Sobel approximation to the derivative
Filters
Lapacian of Gaussian (LoG)
Canny Edge DetectorGaussian filter to smooth image1st derivative kernel to detect edgesNon-maximal suppression
Median filter
• B = medfilt2(im) does a median filtering of the image im in two dimensions.
• Each output pixel contains the median value in the 3 x 3 neighborhood around the corresponding pixel in the input image. It pads the image with zeros on the edges, so the median values for points on the edge of the image may appear darker.
• Median filtering is most often used to reduce "salt and pepper" noise.
• A median filter is more effective than convolution when the goal is to simultaneously reduce noise and preserve edges.
Harris Corner Detector
Shifting the window in any direction should yield a large change in appearance
-aka what happens at a corner!
Code for Harris Corner
Optical Flow (Lucas Kanade with
pyramids)
Shows the vectors of motion.
Optical Flow (Liu)• Found YouTube clip of Olympic diver:
https://www.youtube.com/watch?v=djou2oLUeuo• Clipped the video into a 3 second clip of just the action
of diving• Converted the clipped video into a sequence of jpg
images• Example:
• Made a loop in demo flow to run through the sequence of diving images
• Took the optical flow images and converted them into an animated gif:Olympic Diver: http://makeagif.com/I27cPy
Scale Invariant Feature Transform (SIFT)
Code (for one image)
Code to collect all imagesHave to do these 2 pieces of code for every 15 categories
Input imagesBasic matching using SIFT points
Result
Code
Adaboost
SVM (Support Vector Machine)
Pick classifier where the distance between the support vectors and the linear classifier is maximized.
Bag Of Words
Project Preference 1Project: Multimodal data analysis for the
detection of Attention Deficit Hyperactive Disorder
Mentor: Soumyabrata DeyBegan his reading most recent paper on the
projectHave taken discrete systems which has graph
theory which will help because: looking at the brain as a series of nodes and edges
Project Preference 2Project: Deep TrackerMentor: Afshin Dehghan I know pythonLooked at papers on deep learning
Project Preference 3Project: Action Recognition in Temporally
Untrimmed videosMentor: Amir R. ZamirHave a solid grasp of frame workVery interested in topic