Multi-Process Fusion: Visual Place Recognition Using Multiple Image Processing Methods

Multi-Focus Image Fusion in DCT Domain using Variance and Energy of Laplacian and Correlation Coefficient for Visual Sensor Networks

The purpose of multi-focus image fusion is gathering the essential information and the focused parts from the input multi-focus images into a single image. These multi-focus images are captured with different depths of focus of cameras. A lot of multi-focus image fusion techniques have been introduced using considering the focus measurement in the spatial domain. However, the multi-focus image ...

Designing and implementing a system for Automatic recognition of Persian letters by Lip-reading using image processing methods

For many years, speech has been the most natural and efficient means of information exchange for human beings. With the advancement of technology and the prevalence of computer usage, the design and production of speech recognition systems have been considered by researchers. Among this, lip-reading techniques encountered with many challenges for speech recognition, that one of the challenges b...

Visual Place Recognition Using Landmark Distribution Descriptors

Recent work by Sünderhauf et al. [1] demonstrated improved visual place recognition using proposal regions coupled with features from convolutional neural networks (CNN) to match landmarks between views. In this work we extend the approach by introducing descriptors built from landmark features which also encode the spatial distribution of the landmarks within a view. Matching descriptors then ...

Real-time visual tracking using image processing and filtering methods

Using image signatures for place recognition

This paper describes and evaluates an image-based place recognition method for mobile robots based on matching image signatures. The method represents an image as a set of arrays of coarse-scale measurements over subimages. We describe several diierent measurement functions we devised, and show how they can be used conjunctively to improve recognition accuracy. Experimental results show that th...