Depthmap fusion is the problem of computing dense 3D reconstructions from a set of depthmaps. Whereas this problem has received a lot of attention for purely rigid scenes, there is remarkably little prior work for dense reconstructions of scenes consisting of several moving rigid bodies or parts. This paper therefore explores this multi-body depthmap fusion problem. A first observation in the m...

Display color line defect detection is an important step in the production quality inspection process. In order to improve accuracy of low contrast defects, we propose a display method based on feature fusion. The saliency channels RG|GR and BY|YB were obtained using relative entropy maximum criterion. Then, combined with channel b calculate red-green blue-yellow fusion maps. map maps was by Fi...

Persian language is one of the most widely used languages in the Web environment. Hence, the Persian Web includes invaluable information that is required to be retrieved effectively. Similar to other languages, ranking algorithms for the Persian Web content, deal with different challenges, such as applicability issues in real-world situations as well as the lack of user modeling. CF-Rank, as a ...

the fusion of medical images is very useful for clinical application. generally, the pet image indicates the function of tissue and the mri image shows the anatomy of tissue. in this article we fused mri and pet images and the purpose is adding structural information from mri to pet image. the images decomposed with curvelet transform, and then two images fused with applying fusion rules. we us...

The concept of continuous-time trajectory representation has brought increased accuracy and efficiency to multi-modal sensor fusion in modern SLAM. However, regardless of these advantages, its offline property caused by the requirement of global batch optimization is critically hindering its relevance for real-time and life-long applications. In this paper, we present a dense map-centric SLAM m...

Focus fusion is the task of combining a set of images focused at different depths into a single image that is entirely in-focus. The crucial point of all focus fusion methods is the decision about the in-focus areas. To this end, we present a general framework for focus fusion that introduces a modern regularisation strategy on these per-pixel decisions. We assume that neighbouring pixels in th...

Characteristics of uncertainty and imprecision, even imperfection is presented from knowledge acquisition in map reconstruction of autonomous mobile robots. Especially in the course of building grid map using sonar, this characteristic of uncertainty is especially servere. Jean Dezert and Florentin Smarandache have recently proposed a new information fusion theory (DSmT), whose greatest merit i...

* New address as of November 3, 1997: Dept. of Mechanical & Mechatronic Engineering University of Sydney, NSW 2006, Australia A new means of distributed action selection via utility fusion is introduced here as an alternative to both the bottlenecks of centralized systems and the incoherent action selection of distributed systems. Within the utility fusion framework, distributed, independent, a...

Cell fusion in genetically identical Neurospora crassa germlings and in hyphae is a highly regulated process involving the activation of a conserved MAP kinase cascade that includes NRC-1, MEK-2 and MAK-2. During chemotrophic growth in germlings, the MAP kinase cascade members localize to conidial anastomosis tube (CAT) tips every ∼8 minutes, perfectly out of phase with another protein that is ...

A definitional extension LNGMIt of the Calculus of Inductive Constructions (CIC), that underlies the proof assistant Coq, is presented that allows also to program with nested datatypes that are not legal data type definitions of CIC since they are “truly nested”. LNGMIt ensures termination of recursively defined functions that follow iteration schemes in the style of N. Mendler. Characteristica...