Matching remotely sensed multimodal images is a crucial process that poses significant challenges due to nonlinear radiometric differences and substantial image noise. To overcome these difficulties, this study presents novel practical template-matching algorithm specifically designed for purpose. Unlike traditional approaches rely on intensity, the proposed focuses matching based their geometr...

This paper presents a statistical approach to developing multimodal recognition systems and, in particular, to integrating the posterior probabilities of parallel input signals involved in the multimodal system. We first identify the primary factors that influence multimodal recognition performance by evaluating the multimodal recognition probabilities. We then develop two techniques, an estima...

Most users in either desktop or ubiquitous environments access Web applications from Web browser interfaces. Majority of standard Web applications are still based on GUIs and usually support user-machine interaction using traditional human-machine interfaces (e.g. mouse, keyboard). In order to make access to the Web content more natural and to improve user experience, advanced user interfaces, ...

Multimodal grammars provide an effective mechanism for quickly creating integration and understanding capabilities for interactive systems supporting simultaneous use of multiple input modalities. However, like other approaches based on hand-crafted grammars, multimodal grammars can be brittle with respect to unexpected, erroneous, or disfluent input. In this article, we show how the finite-sta...