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Timed Fast Exact Euclidean Distance (tFEED) Maps January 2005 Theo Schouten Harco Kuppens Egon van den Broek
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tFEED Distance transformation distance map D(p) = min { dist(p,q), q O }
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tFEED Euclidean distance not by local operations using scans –approximations (city-block, chamfer) disconnected Voronoi tile semi-exact ED often wright sometimes wrong
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tFEED Principle of FEED D(p) = if (p O) then 0 else for each q O for each p: D(p) = min ( D(p), ED(q,p)) inverse of definition reduce number of q O to feed distances: only the border pixels of O, not the “inside” pixels ED( (x q,y q ),(x p,y p )) = M(|x q -x p |,|y q -y p |) M can contain any non-decreasing f(ED) square (ED), floating point, rounded integer
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tFEED Speed up, bisection lines reduce number of p to update per B search and bookkeeping < time gained
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tFEED Search optimization 76800 pixels 13942 object 1725 border 86487 updates, 8.4 ms 290771 updates, 5.7 ms 179373 updates, 4.5 ms
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tFEED Results FEED is about factor 2 faster than Shih & Wu 2-scan ED (CVIU 2004) –few % wrong, error 50% of chamfer 3,4 –FEED uses less memory FEED is about factor 2 slower than Borgefors chamfer 3,4 (CVGIP, 1986) FEED time depends more on content of image than the scan methods
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tFEED Video generation generated with Macromedia Flash –vector oriented –preserve color maps
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tFEED tFEED video distance maps D fixed+moving = min { D fixed, D moving } FEED on fixed objects per frame original FEED, but: –initialize with D fixed –B O moving –up to d max in D fixed additional object does not increase max distance
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tFEED Scan methods video distance maps the scan methods need a rectangle: –bounding box of moving object, extended with d max –moving object has no influence outside rectangle in rectangle D fixed+moving copy with min operator into D fixed
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tFEED Video results tFEED factor 6 faster than FEED/frame factor 3 - 4 faster than adapted Shih & Wu (semi) ED 20-50% faster than adapted Borgefors chamfer 3,4 which is often faster than the city-block which gets a larger rectangle
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tFEED Video example further developments: –encoding fixed objects for faster search in FEED –faster locating the moving object more effect on tFEED
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tFEED tFEED conclusions DT’s (FEED, scan methods) adapted for fast generation of distance maps for video tFEED: –gives exact ED –faster than city-block, chamfer 3,4 other (semi) ED –more complicated to implement
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tFEED The End
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