A new transform is presented that utilizes local radial symmetry to highlight points of interest
within a scene. Its low-computational complexity and fast runtimes makes this method well …

Many machine vision applications, such as compression, pictorial database querying, and
image understanding, often need to analyze in detail only a representative subset of the …

We present a new technique for extracting local features from images of architectural
scenes, based on detecting and representing local symmetries. These new features are …

We describe a new method for automatic gait recognition based on analysing the symmetry
of human motion using the Generalised Symmetry Operator. This approach is reinforced by …

A new feature detection technique is presented that utilises local radial symmetry to identify
regions of interest within a scene. This transform is significantly faster than existing …

In the construction of the knowledge system, visual perception is the primary means of
acquiring knowledge. Thus, it is very essential to solve the problems related to visual …

Purpose: The authors presented a novel system for automated nodule detection in lung CT
exams. Methods: The approach is based on (1) a lung tissue segmentation preprocessing …

In many cases human identification biometric systems are motivated by real-life criminal and
forensic applications. One of the most interesting emerging method of human identification …

In this work, we present a new approach to interest point detection. Different types of
features in images are detected by using a common computational concept. The proposed …

In this paper, we propose a framework to assess visual complexity of paintings. This
framework provides a machine learning scheme for investigating the relationship between …