T
Tetsuo Asano
Researcher at Japan Advanced Institute of Science and Technology
Publications - 190
Citations - 3202
Tetsuo Asano is an academic researcher from Japan Advanced Institute of Science and Technology. The author has contributed to research in topics: Pixel & Time complexity. The author has an hindex of 29, co-authored 186 publications receiving 3102 citations. Previous affiliations of Tetsuo Asano include Max Planck Society & IBM.
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Journal ArticleDOI
Space-filling curves and their use in the design of geometric data structures
TL;DR: A space filling curve (SFC) is a numbering of the cells of this grid with numbers from c+1 to c+N2, for some c≥0, if it can be recursively divided into four square RSFCs of equal size.
Journal ArticleDOI
Visibility of disjoint polygons
TL;DR: This work shows how to build, in O(n2) time and space, a data structure from which inO(n) time the authors can compute the visibility polygon of a given point with respect to the polygon collection, implying that the shortest path that connects two points in the plane and avoids the polygons in their collection can be computed inO (n 2) time.
Proceedings ArticleDOI
Clustering algorithms based on minimum and maximum spanning trees
TL;DR: An algorithm is presented which partitions a set of points in the plane into two subsets so that their larger diameter is minimized in time and the minimum intercluster distance is maximized.
Proceedings ArticleDOI
Visibility-polygon search and euclidean shortest paths
TL;DR: This work shows how to build a data structure from which in O(n) time the authors can compute the visibility polygon of a given point with respect to the polygon collection, and implies that the shortest path that connects two points in the plane and avoids the polygons in their collection can be computed in O (n2) time.
Journal ArticleDOI
A Robust Fingerprint Indexing Scheme Using Minutia Neighborhood Structure and Low-Order Delaunay Triangles
TL;DR: This paper design a novel feature based on minutia neighborhood structure and a more stable triangulation algorithm (low-order Delaunay triangles), which are both insensitive to fingerprint distortion, which considerably narrows down the search space in fingerprint databases and is stable for various fingerprints.