Feature Detection of an Object by Image Fusion
نویسندگان
چکیده
منابع مشابه
Feature Detection of an Object by Image Fusion
In this paper, we propose a novel method for feature detection of an object by fusion of range and intensity images. For this purpose, we have developed a data acquisition system with a laser source and camera interfaced with Silicon Graphics machine. 3-D mesh representation of the surface of the object is obtained from the acquired range images. Extraction of structural features from the range...
متن کاملMulti Sensor Fusion for Object Detection Using Generalized Feature Models
This paper presents a multi sensor tracking system and introduces the use of new generalized feature models. To detect and recognize objects as selfcontained parts of the real world with two or more sensors of the same or of several types requires on the one hand fusion methods suitable for combining the data coming from the set of sensors in an optimal manner. This is realized by a sensor fusi...
متن کاملFeature-Level based Video Fusion for Object Detection
Fusion of three-dimensional data from multiple sensors gained momentum, especially in applications pertaining to surveillance, when promising results were obtained in moving object detection. Several approaches to video fusion of visual and infrared data have been proposed in recent literature. They mainly comprise of pixel based methodologies. Surveillance is a major application of video fusio...
متن کاملFeature Based Image Fusion
The paper proposes a method for fusion of registered multi focus images using various characteristic properties of the images as attributes for fusion. Experiment is conducted on a large set of images and the results of image fusion using different image attributes are analyzed using quality assessment algorithms to estimate how well information contained in the source images are represented in...
متن کاملapplication of image fusion (object fusion) for forest classification in northern forests of iran
forest classification on the basis of satellite images is a promising technique both for primary map production and for map updating and forest monitoring. for accurate for-est classification into three classes, using mapping by canopy cover density “high spatial resolution satellite images have to be used in order to obtain the required spatial detail” [schneider, 1999]. at the same time, the ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2010
ISSN: 0975-8887
DOI: 10.5120/362-549