Waqar Khan

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The report about the ECCV 2012 Robust Vision Challenge summarized strengths and weaknesses of the winning stereo matcher (Iterative Semi-Global Matching = iSGM). In this paper we discuss whether two variants of a Belief Propagation (BP) matcher can cope better with events such as sun flare or missing temporal consistency, where iSGM showed weaknesses(More)
In a stereo configuration, the measurable disparity values are integral, therefore the measurable depths are discrete. This can create a trap for a safety system whose purpose is to estimate the trajectory of a moving object, and issue an early warning. Accuracy of this estimation is determined by the samples which have different measurable depths. Change(More)
The discrete nature of disparities observed by stereo systems results in complex behaviour of speeds measured by them and affects the efficacy of a stereo based driver assistance system. We describe a tool for a safety engineer which permits the safety of these systems to be estimated. It is based on a model which considers the true error in measured(More)
The environment perception and driver assistance (.enpeda..) project searches for solutions for vision-based driver assistance systems (DAS) which are currently starting to be active safety components of cars (e.g., lane departure warning, blind spot supervision). We review current projects in .enpeda.. in the international context of developments in this(More)
In this study, we have generalized our previous tool for assisting a safety engineer in assessing collision trajectories by extending from colliding objects with constant velocity to more general variable velocity ones. We have also highlighted that a linear system cannot be relied upon for handling a colliding object with variable velocity. To deal with(More)
This report informs about current activities and results in the .enpeda‥ (short for ‘environment perception and driver assistance’) project and related performance evaluation studies, in panoramic visualization, in environmental surveillance based on scanned footprints of small species, in artistic filters, and in the design of(More)
Methods of representing images by projection onto a linear subspace, such as Principal Component Analysis (PCA), 2-Dimensional PCA (2D PCA), and two variants of robust Linear Discriminant Analysis (RLDA) using PCA to refine the chosen subspace, are compared by the accuracy of linear and nearest neighbour classification of the reduced and original image(More)
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