Polynomial-time solutions to image segmentation
Tetsuo Asano, Danny Z. Chen, et al.
SODA 1996
We consider the orthgonal clipping problem in a set of segments: Given a set of n segments in d-dimensional space, we preprocess them into a data structure such that given an orthogonal query window, the segments intersecting it can be counted/reported efficiently. We show that the efficiency of the data structure significantly depends on a geometric discrete parameter K named the projected-image complexity, which becomes Θ (n2) in the worst case but practically much smaller. If we use O(m) space, where K log4d-7 n ≥ m ≥ n log4d-7 n, the query time is O((K/m)1/2 logmax{4,4d-5} n). This is near to an Ω((K/m)1/2) lower bound.
Tetsuo Asano, Danny Z. Chen, et al.
SODA 1996
John R. Kender, Rick Kjeldsen
IEEE Transactions on Pattern Analysis and Machine Intelligence
Charles Micchelli
Journal of Approximation Theory
Chai Wah Wu
Linear Algebra and Its Applications