The action of digitally signing has several intrinsic weaknesses that introduce syntactic and semantic distance between a signer and a relying party. As a result, digitally signed documents cannot be trusted and thus be widely deployed in pervasive environments. We evaluate the syntactic robustness of digitally signed documents by exploiting one key quantitative measure (the structural informat...

Conflating/stitching 2.5-D raster digital surface models (DSMs) into a large one has been running practice in geoscience applications; however, conflating full-3-D mesh models, such as those from oblique photogrammetry, is extremely challenging. In this letter, we propose novel approach to address challenge by multiple photogrammetric single and seamless for high-resolution site modeling. Given...

Digital signatures provide a valuable tool for secure internet trading by ensuring data authenticity and integrity and most importantly by enforcing commitment and non-repudiation for the transacting parties. The action of digitally signing has, however, several intrinsic weaknesses that introduce syntactic and semantic distance between a signer and a relying party. As a result, digitally signe...

Obtaining high-quality 3D models of real world objects is an important task in computer vision. A very promising approach to achieve this is given by variational range image integration methods: They are able to deal with a substantial amount of noise and outliers, while regularising and thus creating smooth surfaces at the same time. Our paper extends the state-of-the-art approach of Zach et a...

Modeling appealing virtual scenes is an elaborate and time-consuming task, requiring not only training and experience, but also powerful modeling tools providing the desired functionality to the user. In this paper, we describe a modeling approach using signed distance functions as an underlying representation for objects, handling both conventional and complex surface manipulations. Scenes def...