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Notice on Downloading Code: While every reasonable effort is made to ensure the reliability of this software, VSG code is supplied for general reference only and should not be relied on without further specific inquiry.

SRILF 3D Face Landmarker

The automatic landmarking software srilf3dFL version 1.0_Demo (SRILF_v1.0_Demo.7z) is an implementation of the Shape Regression with Incomplete Features (SRILF) algorithm detailed in:

The demo package includes executable code, a user guide along with sample 3D facial scans (with and without occlusions). The software operates under Windows operating systems and provides a simple command-line interface.

Development of this software was supported by the Wellcome Trust, through the Face3D project and the European Commission, through the SP-MORPH project. The SRILF 3D Face Landmarker is provided exclusively for research use under a Creative Commons Attribution-NonCommercial-NoDerivs (CC BY-NC-ND) licence.

For more information, please contact Dr. Federico Sukno or Prof. Paul Whelan.

VSG Image Processing & Analysis Toolbox (VSG IPA TOOLBOX)

The VSG TOOLBOX is a free MATLAB compatible image processing and analysis toolbox which provides high level access to a wide range of image processing and analysis algorithms. This toolbox requires MathWorks' MATLAB 7.1 or later BUT DOES NOT REQUIRE the MathWorks' Image Processing Toolbox.

If you are using this tooolbox, please cite: Paul F Whelan (2011) “VSG Image Processing and Analysis (VSG IPA) Toolbox”, Technical Report, Centre for Image Processing & Analysis, Dublin City University. [Technical Report - PDF]

This software is a BETA release, please report any issues/bugs to VSG IPA Toolbox support

For additional information please contact paul.whelan@dcu.ie

vsg IPA Toolbox.gif screenshot

Sediment Profile Image Analysis

Sediment profile imagery (SPI) is a remote sensing technique that is used for determining whether the marine sediments provide the suitable habitat for benthic (bottom-dwelling) fauna. The SPI technique is based on an inverse periscope that penetrates the seabed and the captured images are analysed in order to evaluate the activity of the resident marine fauna and the overall level of sediment contamination. Although this sediment monitoring technique has been widely used by the marine benthic scientists for several years, SPI analysis is based on a visual qualitative and quantitative evaluation performed by the human operator. Independent tests reveal that this method is affected in terms of sensitivity and reproductibility by the subjectivism of the human operator.

The MRS SPI Analyser software environment developed by the VSG is an image processing tool to interpret the SPI images. The most important feature measure in SPI images is to detect if the sediments contain oxidised layers as they indicate the extent to which marine animals are ventilating the sediment. Although this paper focuses on the detection of oxidised sediments our research interests also include the detection of sediment-water-interface (SWI), to highlight the burrows and voids and the detection of the sediment grain size. MRS has a user-friendly mouse-driven graphical interface that facilitates to access to the image processing operations and displays the results in numerical and visual formats.

Download MRS 2.1 (zip file)