Charles Dietrich
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Detecting Repeated Shapes in Images
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Test Set
In the results, the images are as follows:
original: Original
seg: Segmentation using Felzenszwalb & Huttenlocher algorithm
cluster: for each cluster of segments with more than 1 element, that cluster is colored a random color (segments in singleton clusters made greyscale)
pop: original image with segments in singleton clusters made greyscale.
original
seg
cluster
pop
bluebells
bollards2
bollards3
bollards4
books-easy
boxes
brick1
brick2
car-wheel
car-window-negative-example
chairs-and-windows
chimneys
cobblestones1
cobblestones2
combination-door
computers-and-chairs
construction1
construction2
curved-windows
dandelion-cluster
door-detail
flowerbed1
flowerbed2
flowers-shadow
frontoparallel-windows
frontoparallel-windows2
green-grate
ho-plaza
keyboard-easy
keyboard-hard
light-switch
light-switches
multicolor-posters
old-windows
petals
poster
radiator-grille
red-door-dots
relief
round-stained-glass
squirrel-negative-example
stained-glass
stair-lights
stair-treads
stonework
storm-grate1
storm-grate2
trash-barrels1
trash-barrels2
trees-negative-example
truck-grille
tulip-cluster
upson-floor-dots2
upson-floor-dots3
upson-hallway
wavy-stairs
windows
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