6,094 research outputs found

    Local Stereo Matching Using Adaptive Local Segmentation

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    We propose a new dense local stereo matching framework for gray-level images based on an adaptive local segmentation using a dynamic threshold. We define a new validity domain of the fronto-parallel assumption based on the local intensity variations in the 4-neighborhood of the matching pixel. The preprocessing step smoothes low textured areas and sharpens texture edges, whereas the postprocessing step detects and recovers occluded and unreliable disparities. The algorithm achieves high stereo reconstruction quality in regions with uniform intensities as well as in textured regions. The algorithm is robust against local radiometrical differences; and successfully recovers disparities around the objects edges, disparities of thin objects, and the disparities of the occluded region. Moreover, our algorithm intrinsically prevents errors caused by occlusion to propagate into nonoccluded regions. It has only a small number of parameters. The performance of our algorithm is evaluated on the Middlebury test bed stereo images. It ranks highly on the evaluation list outperforming many local and global stereo algorithms using color images. Among the local algorithms relying on the fronto-parallel assumption, our algorithm is the best ranked algorithm. We also demonstrate that our algorithm is working well on practical examples as for disparity estimation of a tomato seedling and a 3D reconstruction of a face

    Balanced ternary addition using a gated silicon nanowire

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    We demonstrate the proof of principle for a ternary adder using silicon metal-on-insulator single electron transistors (SET). Gate dependent rectifying behavior of a single electron transistor results in a robust three-valued output as a function of the potential of the SET island. Mapping logical, ternary inputs to the three gates controlling the potential of the SET island allows us to perform complex, inherently ternary operations, on a single transistor

    What role is there for the state in contemporary governance? Insights from the Dutch building sector

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    An emerging body of empirical governance studies highlights that the role of the state in governance has been changing. It has moved away from governing societal problems solely through traditional direct regulatory interventions. State actors are now (also) taking up facilitative and enabling roles in innovative voluntary governance arrangements. This article seeks to gain a better understanding of these facilitating and enabling roles of state actors in real world practice and what (clusters of) roles are needed to obtain successful outcomes from these arrangements. It builds on an empirical study of ten different arrangements in the Dutch sustainable building sector, which are analysed using fuzzy set qualitative comparative analysis (fsQCA) methodology. It finds no evidence that any of the specific (clusters of) role(s) is necessary to achieve positive outcomes from the arrangements studied, but uncovers that when combined, such roles affect the outcomes of arrangements. It concludes by presenting an evidence-based typology of combinations of roles that state actors may wish to take up in seeking positive outcomes from innovative voluntary governance arrangements, or preventing negative outcomes
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