Concept

Vector graphics

Related publications (49)

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Method, system, and device for learned invariant feature transform for computer images

Pascal Fua, Vincent Lepetit, Kwang Moo Yi, Eduard Trulls Fortuny

A method for training a feature detector of an image processing device, including the steps of detecting features in the image to generate a score map, computing a center of mass on the score map to generate a location, extracting a patch from the image at ...

2018

New Multi-Keyword Ciphertext Search Method for Sensor Network Cloud Platforms

Jiyong Zhang, Yue Wang, Hongyu Yang

This paper proposed a multi-keyword ciphertext search, based on an improved-quality hierarchical clustering (MCS-IQHC) method. MCS-IQHC is a novel technique, which is tailored to work with encrypted data. It has improved search accuracy and can self-adapt ...

MDPI2018

Investigating the in-plane mechanical behavior of URM piers via DSFM

Katrin Beyer, Shenghan Zhang, Sarah Petry

In this paper we use the novel Disturbed Stress Field Model (DSFM) from Facconi et al. (2013) to model the lateral in-plane behaviour of different unreinforced masonry (URM) walls which we tested at the laboratory of the EPF Lausanne, Switzerland. The mode ...

2014

High-Order Vector Control of Grid-Connected Voltage Source Converters with LCL-Filters

Alfred Rufer, Michail Vasiladiotis, Behrooz Bahrani

This paper proposes a vector control strategy for LCL-filter-based grid-connected voltage source converters (VSCs). The proposed control strategy is inherently capable of attenuating the resonance phenomenon of such systems. This is an advantage over the e ...

Institute of Electrical and Electronics Engineers2014

Low-Level Salient Region Detection Using Multi-Scale Filtering

Sabine Süsstrunk, Gökhan Yildirim

Various computer visions tasks require a summary of visually important regions in an image. Thus, developing simple yet accurate salient region detection algorithms has become an important research topic. The currently best performing state-of-the-art sali ...

2013

This paper presents an application of the kernel principal component analysis aiming at aligning optical images before the application of change detection techniques. The approach relies on the extraction of nonlinear features from a selected subset of pix ...

2012

A common theory for phase-modulated homonuclear decoupling in solid-state NMR

David Lyndon Emsley

We propose a new framework for homonuclear dipolar decoupling in solid-state NMR that provides a theoretical link between the FSLG, PMLG and DUMBO families. We show that through the use of a Legendre polynomial basis, the phase modulation of these decoupli ...

ROYAL SOC CHEMISTRY2012

Semantic-Driven Selection of Printer Color Rendering Intents

Sabine Süsstrunk, Albrecht Johannes Lindner

In this paper we introduce a unified framework that automatically selects the optimal color rendering intent for a given print job. We first present how we extract information from both the image features and the semantic information contained in keywords ...

2012

Design and Evaluation of a Novel Haptic Interface for Endoscopic Simulation

Hannes Bleuler, Evren Samur, Lionel Flaction

Inspection of the colon with an endoscope for early signs of cancer (colonoscopy) has become an extremely widespread procedure, since early treatment radically improves the outlook of patients. The procedure requires a close coordination between the sense ...

Ieee Computer Soc2011

We present a novel framework for automatically determining whether or not to apply black point compensation (BPC) in image reproduction. Visually salient objects have a larger influence on determining image quality than the number of dark pixels in an imag ...

Spie-Int Soc Optical Engineering, Po Box 10, Bellingham, Wa 98227-0010 Usa2011