We propose a particle filtering-based visual tracker, in which the affine group is treated as the state. We first develop a general particle filtering algorithm that explicitly tak...
We present a fast, non-iterative technique for producing grayscale images from error diffused and dithered halftones. The first stage of the algorithm consists of a Gaussian filte...
Niranjan Damera-Venkata, Thomas D. Kite, Mahalaksh...
We propose novel algorithms for organizing large image and video datasets using both the visual content and the associated sideinformation, such as time, location, authorship, and...
In this paper we are mainly interested in the classification of images into different clusters, each corresponding to an object material in the imaged scene. For that purpose, the...
Jihad Zallat, Pierre Grabbling, Yoshitate Takakura
This paper presents a new method for image retrieval using a graph object oriented database for processing the information extracted from the image through the segmentation process...