Multi-view face detection in open environment is a challenging task due to diverse variations of face appearances and shapes. Most multi-view face detectors depend on multiple models and organize them in parallel, pyramid or tree structure, which compromise between the accuracy and time-cost. Aiming at a more favorable multi-view face detector, we propose a novel funnel-structured cascade (FuSt...

Virtually all of the existing approaches to ontology integration assume that each of the individual ontologies (and the integrated ontology) corresponds to a single set of semantics at a given time. We first claim that this single integrated view assumption is unnecessarily restrictive, and defend the view that ontologies can simultaneously accommodate multiple integrated views provided the acc...

A potential determinant of people’s selective attention is offered by the structural-alignment view of comparison. This view holds that objects are compared via structured representations that align sets of features that share relational roles. A central claim of this account is that the comparison process directs attention towards alignable features. This prediction has been supported by offli...

Many events are captured using multiple cameras today. Frames of each video stream have to be synchronized and aligned to a common time axis before processing them. Synchronization of the video stream necessarily needs a hardware based solution that is applied while capturing. The alignment problem between the frames of multiple videos can be posed as a search using traditional measures for ima...

This paper presents a novel depth driven approach for a highly accurate joint photometric and geometric image alignment. Thereby, the registration problem is expressed in terms of a consistent, elegant and efficient energy formulation. Moreover, we propose a real-time capable alternating iterative optimization scheme to solve for a state of minimal energy. Since our energy formulation is based ...

The use of automatic word alignment to capture sentence-level semantic relations is common to a number of cross-lingual NLP applications. Despite its proved usefulness, however, word alignment information is typically considered from a quantitative point of view (e.g. the number of alignments), disregarding qualitative aspects (the importance of aligned terms). In this paper we demonstrate that...

different approaches are presented regarding how to react to the changing world. all these approaches are me meaningful if cover the alignment principle in the organization as a fundamental and more important principle. surveys and research on the successful organizations are indicative of considering alignment as a determinant axis in the organization. this article is the result of a research ...

The article aims to analyze the demetaphorization process in translation context of contemporary Italian literature. problem is framed from point view focal adjustments R. Langacker, particular selection and figure-background alignment. Apart obvious problems untranslatability, role metaphorical potential played analyzed.