Hilbert curve is a one-to-one mapping between N-dimensional (N-D) space and 1-D space. The Hilbert curve has been applied to image processing as a scanning technique (Hilbert Scan). Recently the application to moving-image processing also are studied actively. In this application, we use 3-D Hilbert scan which maps 3-D data to 1-D data along 3-D Hilbert curve. However, 3-D Hilbert scan is the application limited to data in a cube region. In this paper, we present a novel algorithm for generating 3-D pseudo-Hilbert curves in a cuboid region. Our algorithm is suitable for real-time processing and easy to implement in hardware, since it is a simple and non-recursive computation using look-up tables.
|出版ステータス||Published - 1999 12月 1|
|イベント||International Conference on Image Processing (ICIP'99) - Kobe, Jpn|
継続期間: 1999 10月 24 → 1999 10月 28
|Other||International Conference on Image Processing (ICIP'99)|
|Period||99/10/24 → 99/10/28|
ASJC Scopus subject areas
- コンピュータ ビジョンおよびパターン認識