Visual attention is the ability to rapidly detect the visually salient parts of a given scene on which higher level vision tasks, such as object recognition, can focus. Found in biological vision, this mechanism represents a fundamental tool for computer vision. This paper reports the first real-tim
Parallel shape coding on a SIMD architecture
✍ Scribed by Zbigniew Wójcik
- Publisher
- Elsevier Science
- Year
- 1990
- Tongue
- English
- Weight
- 769 KB
- Volume
- 3
- Category
- Article
- ISSN
- 0952-1976
No coin nor oath required. For personal study only.
✦ Synopsis
This paper presents a parallel shape analysis by simultaneous merging of elementary features detected through calculation of the number of objects within neighbouring windows. The parallel algorithm can be embedded on a SIMD mesh architecture. Elementary image features are detected inside partly overlapping windows fixed in the image plane. Each window's contents are processed by a ~separate processing element (PE). Two neighbouring dementary feature elements are merged by adjacent PEs, and the joined feature chunks are merged in the next step by every 22th PE possessing the same feature. Feature ends are propagated across N = 2" PEs in each nth parallel step toward opposite edges of the mesh array of PEs. The shape coding is completed if all the feature limits (e.g. edges) meet i together on one PE. The approach has the property of mapping an image fragment directly into words and phrases.
📜 SIMILAR VOLUMES
Shape recognition is an important research area in pattern recognition. It also has wide practical applications in many fields. An attribute grammar approach to shape recognition combines both advantages of syntactic and statistical methods and makes shape recognition more accurate and efficient. Ho
In recent years several implementations of molecular dynamics Ž . Ž . MD codes have been reported on multiple instruction multiple data MIMD machines. However, very few implementations of MD codes on single instruction Ž . multiple data SIMD machines have been reported. The difficulty in using pair
Dedicated to the late M. R. B. Clarke SUMMARY Efficient algorithms for estimating the coefficient parameters of the ordinary linear model on a massively parallel SIMD computer are presented. The numerical stability of the algorithms is ensured by using orthogonal transformations in the form of House