In Section 3.1 of [1] a methodology is presented to compute the salient points of a 3D mesh based on the computation of its protrusion function, see Equation (1) in [1]. Explicitly each point υ of the Mesh is examined as a potential salient point. Specifically a geodesic neighborhood is constructed for each point of the mesh and it is considered as a salient point if it is the local maximum of ...

A highly sensitive charge detector is realized for a quantum dot in an InAs nanowire. We have developed a self-aligned etching process to fabricate in a single step a quantum point contact in a two-dimensional electron gas and a quantum dot in an InAs nanowire. The quantum dot is strongly coupled to the underlying point contact that is used as a charge detector. The addition of one electron to ...

Data files: Open the data file, most of the time in CZI format or ome.tiff and translate into TIF. The TIF file contains 32 channels of Uint16 in a sequence. They must be converted to a single file in the format “.B64”. Routines for the conversions are available in SimFCS. If the data from the SLM 880 were stored as ome.tiff, you can use these files but first they need to be converted into B64....

Fast and accurate salient-object detectors are important for various image processing and computer vision applications, such as adaptive compression and object segmentation. It is also desirable to have a detector that is aware of the position and the size of the salient objects. In this paper, we propose a salient-object detection method that is fast, accurate, and size-aware. For efficient co...

In this paper we present a technique which infers interframe motion by tracking SIFT features through consecutive frames: feature points are detected and their stability is evaluated through a combination of geometric error measures and fuzzy logic modelling. Our algorithm does not depend on the point detector adopted prior to SIFT descriptor creation: therefore performance have been evaluated ...

This paper presents a novel approach for 3D Cranio-Facial reconstruction using Fast Corner detector. The Method involves Bilateral Filtering as the preprocessing step to suppress unwanted distortions.The contours representing the bony areas of the skull are extracted using Region of interest processing.The feature points required for the point cloud generation are detected by FAST corner detect...

Many automated systems need the capability of automatic change detection without the given detection threshold. This paper presents an automated change detection algorithm in streaming multivariate data. Two overlapping windows are used to quantify the changes. While a window is used as the reference window from which the clustering is created, the other called the current window captures the n...

This paper presents a feature-based image registration framework which exploits a novel machine learning (ML)based interest point detection (IPD) algorithm for feature selection and correspondence detection. We use a feed-forward neural network (NN) with back-propagation as our base ML detector. Literature on ML-based IPD is scarce and to our best knowledge no previous research has addressed fe...