Facial expression recognition is a topic of interest both in industry and academia. Recent approaches to facial expression recognition are based on mapping expressions to low dime...
We propose novel thinning conditions for grayscale 3D images that do not rely on image thresholding or segmentation. The resulting grayscale skeletonization routine extracts a top...
We propose to explicitly model white-spaces for Arabic handwriting recognition within different writing variants. Position-dependent character shapes in Arabic handwriting allow f...
In this paper we introduce a framework for automated text recognition from images. We first describe a simple but efficient text detection and recognition method based on analysis...
Indefinite kernels arise in practice, e.g. from problem-specific kernel construction. Therefore, it is necessary to understand the behavior and suitability of classifiers in the c...
This paper deals with incremental classification and its particular application to invoice classification. An improved version of an already existant incremental neural network ca...
In this paper, we propose a novel method for creating a high-quality texture atlas from a 3D model and a set of calibrated images. Our method focuses on avoiding visual artifacts ...
In this paper, a novel method for simultaneously registering multiple images acquired from different imaging modalities is presented. The optimal alignment is computed as the set ...
This paper presents a method for visual object categorization based on encoding the joint textural information in objects and the surrounding background, and requiring no segmenta...
Alireza Tavakoli Targhi, Andrzej Pronobis, Heydar ...
Impression evidence in the form of shoe-prints are commonly found in crime scenes. A critical step in automatic shoe-print identification is extraction of the shoe-print pattern. ...