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1. 3D Scanner Development: (Portfolio); ... ng greater depth ranges. All the key algorithms are cutting edge and combine years of knowledge from both the academic research as practical knowledge of optics and related fields. Following figure sh ...; Created on 14 February 2016
2. Evaporator automation: (Portfolio); ... as follows: Siemens S7 CPU 315-2 PN/DP PLC WinCC v7.3 (HMI) 100 digital inputs 84 digital outputs 32 analog input 18 analog outputs Above image shows one of the HMI screens for controllin ...; Created on 07 February 2016
3. TOMSY: (Portfolio); ... key technologies for future robots and computer vision systems to enable fluent interaction with their environment. Project Schematics The following figure shows the principal components of the system ...; Created on 07 February 2016
4. DRIVSCO: (Portfolio); ... g at a strongly improved, largely autonomous system after learning, that will act in a proactive way using different predictive mechanisms.". System Schematics Following figure shows how the DRIVS ...; Created on 07 February 2016
5. Non-linear Image Diffusion and Efficient Solver: (Tutorials); Here is a reworked version of a technical paper related to non-linear image diffusion and a solver that can be used for efficiently solving the equation. The tutorial shows, step by step, how the equation ...; Created on 27 April 2014
6. Experimental Study of Image Representation Spaces in Variational Disparity Calculation: (Publications); ... e images received from the left camera, top right shows results using gradient based image representation, lower left shows results using normalized RGB, and lower right shows results using a combinati ...; Created on 16 November 2012
7. A Method for Sparse Disparity Densification using Voting Mask Propagation: (Publications); ... obtain considerable densification of sparse disparity maps without increasing the error. The figure below shows a set of 8 voting masks. Intensity represents the number of votes each position gets. High ...; Created on 16 November 2012
8. Spatial and Temporal Constraints in Variational Correspondence Methods: (Publications); ... WO apriori shows results without using a spatial constraint while Spatial displays results using a spatial constraint. As it can be observed from the video, results with a spatial constraint are far better ...; Created on 16 November 2012
9. Active Contour Code: (2012); I have made an example, with Matlab code included, related to both geometric- and geodesic level sets models. The example shows how the boundary separating inner- and outer parts of the segment can be ...; Created on 11 November 2012
10. Diffusion Code: (Code samples); ... I have tried to explain all the steps as clearly as possible. The tutorial also serves as a primer into the PDE based image treatment. The figure below shows results, for an image from the DRIVSCO project, ...; Created on 21 June 2012
11. More information: (Publications); ... error. The figure below shows a set of 8 voting masks. Intensity represents the number of votes each position gets. High intensity means more votes, while low intensity means less votes. Black represent ...; Created on 09 May 2012
12. Optical Flow: (Topics); ... a border showing the colour codification is drawn around the optical flow field. The image below shows one possible colour codification. Optical Flow Constraint As it was mentioned already, ...; Created on 09 May 2012
13. Stereo Disparity: (Topics); ... between the two images, and this is used for 3D reconstruction of a scene. The image above shows a 3D reconstruction based on stereo disparity. As it can be understood, this kind of technology can be used ...; Created on 09 May 2012

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