We present an approach to a segmentation of color cartographic images. This is simultaneous segmentationrecognition-interpretation system when successfully segmented objects of interest (alphanumeric, punctual, linear, and area) are labeled by the system in the same, but are different for each type of objects, gray-level values. We call it the composite image technique. We exchange the source i...

in this paper, a new method for determining position and orientation of a coordinate system using its image is presented. this coordinate system is a three dimensional non-orthogonal system in respect to the two dimensional and orthogonal camera coordinate system.  in real world, it’s exactly easy to select three directions on an object so that they don’t be orthogonal and on a plane. the image...

Because of the view independence and photo realistic image generation in diffuse environment, radiosity is suitable for an interactive walkthrough system. The drawback is time-consuming in form factor estimation, and furthermore, inserting, deleting or moving an object makes the whole costly rendering process repeat. To solve this problem, we encapsulate necessary information for form factor ca...

In this paper the architecture of a 4 legged soccer robot is divided into a hierarchy of behaviors, where each behavior represents an independent sense-think-act loop. Based on this view we have implemented a behaviorbased vision system, improving performance due to object-specific image processing, behavior-specific image processing and behavior-specific self localization. The system was teste...

Symmetry is an important feature of visual scene exploration and interpretation. Similarly, hierarchical structures figure an important aspect of symmetry. Visual symmetries describe image regions that might naturally overlap or enclose smaller symmetries. For this reason, objects and scenes can be described in their overall shape as also in their decomposition into more detailed subordinate st...

The computer vision community provides a large amount of object recognition approaches which are mostly based on prior knowledge, either in the form of algorithm choices or image databases. In contrast, our algorithm is designed by analogy with the human perceptual learning in terms of input data and learning organisation. It does not require image databases nor face/skin detectors, and allows ...

This paper describes the object-oriented design and implementation of a family of stream-oriented le systems under UNIX and under an object-oriented operating system called Choices . A class hierarchy provides an object-oriented taxonomy of the algorithms and data structures used in the design of this family. The family includes the System V le system, the 4.2 BSD le system, and the MS-DOS le s...

A novel indexing structure, join index hierarchy, is proposed to handle the \goto's on disk" problem in object-oriented query processing. The method constructs a hierarchy of join indices and transforms a sequence of pointer chasing operations into a simple search in an appropriate join index le, and thus accelerates navigation in object-oriented databases. The method extends the join index str...

This paper presents a new object representation, Active Mask Hierarchies (AMH), for object detection. In this representation, an object is described using a mixture of hierarchical trees where the nodes represent the object and its parts in pyramid form. To account for shape variations at a range of scales, a dictionary of masks with varied shape patterns are attached to the nodes at different ...

In an intelligent surveillance system, object tracking provides better sense of security using visual information. Hence, the main purpose of this work is to develop an object motion detection system that detected the presence of motion in video sequences. The proposed system employed background modelling and image differential techniques to isolate the motion objects from its background. Addit...