The ability to generate good model hypotheses is instrumental to accurate and robust geometric model fitting. We present a novel dynamic hypothesis generation algorithm for robust fitting of multiple structures. Underpinning our method is a fast guided sampling scheme enabled by analysing correlation of preferences induced by data and hypothesis residuals. Our method progressively accumulates evidence in the search space, and uses the information to dynamically (1) identify outliers, (2) filter unpromising hypotheses, and (3) bias the sampling for active discovery of multiple structures in the data-All achieved without sacrificing the speed associated with sampling-based methods. Our algorithm yields a disproportionately higher number of good hypotheses among the sampling outcomes, i.e., most hypotheses correspond to the genuine structures in the data. This directly supports a novel hierarchical model fitting algorithm that elicits the underlying stratified manner in which the structures are organized, allowing more meaningful results than traditional “flat” multi-structure fitting.

Context-aware Web services are currently emerging as an important technology for building innovative context-aware applications. Unfortunately, context-aware Web services are still difficult to build. This paper describes ContextServ, a platform for rapid development of context-aware Web services. ContextServ adopts model-driven development where context-aware Web services are specified using ContextUML, a UML based modeling language. The platform also offers a set of automated tools for generating and deploying executable implementations of context-aware Web services. This paper presents the motivation, system design, implementation, and usage of ContextServ.

Context-aware Web services are currently emerging as an important technology for building innovative context-aware Web applications. Unfortunately, context-aware Web services are still difficult to build. This paper describes Smart Adelaide Guide, a context-aware Web application developed by ContextServ platform, a research project sponsored by Australian Research Council. ContextServ adopts model-driven development where a UML based modeling language---ContextUML---is used to model Web services and its context-awareness features. The platform offers a set of visual editing and automation tools for rapid generating and deploying context-aware Web services.