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1. A Method for Sparse Disparity Densification using Voting Mask Propagation: (Publications); Abstract We describe a novel method for propagating disparity values using directional masks and a voting scheme. The driving force of the propagation direction is image gradient, making the process ...; Created on 16 November 2012
2. DRIVSCO: (Portfolio); ... 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 DRIVSCO ...; Created on 07 February 2016
3. Evaporator Automation: (2014); ... The system/process is controlled using a GUI programmed using Siemens's WinCC (ver. 7.3). All different parameters, recipe values etc. can be changed through the GUI. Evaporator When evaporator ...; Created on 23 November 2014
4. VMware player network configuration: (2014); During the past few days I have virtualized different versions of Windows OSes using VMware player, the host being a Linux (Ubuntu distribution), and I need to change the physical network adapter in the ...; Created on 17 July 2014
5. Bug in the Code Related to Imfilter: (2014); ... that the library has grown so much that I should start using version control. Since I like the way git-works, I will probably start using that for version control and most probably will "host" the code ...; Created on 09 May 2014
6. Matlab Code for Stereo Disparity Segmentation: (2014); Here it is finally, the segmentation code that I had promised quite long time ago! The Matlab code segments stereo disparity maps using a model based on implicit dynamic surfaces (also known as level sets). ...; Created on 07 May 2014
7. Non-linear Image Diffusion and Efficient Solver: (Tutorials); ... is discretized and converted into a form that allows it to be solved using numerical methods. These same concepts apply to other computer vision related problems as well! Equation The equation ...; Created on 27 April 2014
8. Representation Spaces: (2013); ... is crucial when using real image sequences under varying lighting conditions and noise from the imaging device. In order for the correspondence methods to produce good, temporally coherent results, properties ...; Created on 07 August 2013
9. Collaborators: (Collaboration); ... Cognitive Vision Lab We met with Norbert while working in the DRIVSCO project, and together we wrote a scientific paper related to fusing disparity maps. Prof. Silvio Sabatini PSPC-lab, ...; Created on 20 November 2012
10. Experimental Study of Image Representation Spaces in Variational Disparity Calculation: (Publications); ... is crucial when using real image sequences under varying lighting conditions and noise from the imaging device. In order for the correspondence methods to produce good, temporally coherent results, properties ...; Created on 16 November 2012
11. 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
12. Disparity Disambiguation by Fusion of Signal- and Symbolic-level Information: (Publications); Abstract We describe a method for resolving ambiguities in low-level disparity calculations in a stereo-vision scheme by using a recurrent mechanism that we call signal-symbol loop. Due to the local ...; Created on 16 November 2012
13. Low-cost Sensor to Detect Overtaking Based on Optical-Flow: (Publications); ... generation by optical flow, using a simple digital microcontroller. Our model can detect an approaching vehicle (multiple-lane overtaking scenarios) and warn the driver about the risk of changing lanes. ...; Created on 16 November 2012
14. Complete thesis: (2012); Here it is, finally! Interested in segmenting disparity maps, or perhaps about robust image representation spaces for disparity calculation, or about variational disparity or optical-flow calculation? ...; Created on 18 September 2012
15. Cedai: (2012); ... analysis based on Internet. Using algorithms familiar from the field of 'machine vision', movement, concentration and vitality of the spermatozoa are analysed. This way, images or videos made at any ...; Created on 23 July 2012
16. Diffusion tutorial II: (2012); DIFFUSION TUTORIAL REVISITED Recently I wrote a tutorial related to PDE based, nonlinear image diffusion, using AOS (Additive Operator Splitting) scheme to solve the related PDE (Partial Differential ...; Created on 19 July 2012
17. Diffusion tutorial: (2012); A tutorial related to PDE based, nonlinear image diffusion, using AOS (Additive Operator Splitting) scheme to solve the related PDE (Partial Differential Equation) efficiently. The tutorial includes a ...; Created on 21 June 2012
18. Diffusion Code: (Code samples); This is a tutorial about non-linear (scalar) diffusion, modelled using a PDEs (Partial DIfferential Equation) and an efficient way of solving the equation. The solver used here is based on AOS (Additive ...; Created on 21 June 2012
19. bibtex:voting mask: (Bibtex); @article, TITLE = , JOURNAL = , VOLUME = , YEAR = , NUMBER = , PAGES = , url = }; Created on 10 May 2012
20. Level-Set Based Disparity Map Segmentation Code: (Code samples); Here it is finally, Matlab segmentation code for segmenting stereo disparity maps. The code is a combination of Matlab/MEX (Matlab EXecutable) code. MEX part has been programmed in C using openmp and blas ...; Created on 09 May 2012

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