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We present a new Bayesian vision technique that aims at recovering a shape from two or more noisy observations taken under similar lighting conditions. The shape is parametrized by a pieceviise linear height field, textured by a piecewise linear irradiance field, and we assume Gaussian Markovian priors for both shape vertices and irradiance variables. The observation process, also known as rend...

In this paper, we .synthesize a new approach to 3-0 object shape recovery b y integrating qualitative shape recovery techniques and quantitative physicsbased shape estimation techniques. Specifically, we ,first use qualitative shape recovery and recognition techniques to provide strong fitting constraints on physics-based deformable model recovery techniques. Secondly, we extend our previously ...

Complex event processing (CEP) is widely employed to detect occurrences of predefined combinations (patterns) of events in massive data streams. As new events are accepted, they are matched using some type of evaluation structure, commonly optimized according to the statistical properties of the data items in the input stream. However, in many reallife scenarios the data characteristics are nev...

In this article we describe the preparation and characterization of a water-triggered shape memory polymer (SMP) family, PCL–PEG based thermoplastic polyurethanes (TPUs). Upon immersion in water, water molecules selectively swelled the hydrophilic PEG domains, resulting in durable hydrogels with strain-to-failure values greater than 700%. Dry samples fixed in a temporary shape underwent watertr...