Point based co-linearity is an essential conception in Photogrammetry. But point in photogrammetry means only physical or visible points, such as dots, cross points and corner point etc. Especially in the stage of either analogue or analytical, even digital photogrammetry, the main primitive feature, which can be measured by human operator, is physical point. It can be referred to as Point Phot...

Confusion-matrices show that character mix-ups between similar looking letters differing in size rather than in shape (like “s” and “S” or “e” and “l”), as well as between tall letters (such as “M” and “t”) and small case letters (such as “s” and “a”) and vice versa can occur in on-line whiteboard note recognition. This paper introduces a novel feature called “line-member” feature that adds dis...

The Feature–Oriented approach provides a way of modelling commonalities and variabilities among products of a software product line. A feature model can be used as input for generating an architectural representation of a product line. Product line architectures can be specified using one of the architecture description languages that already supports the specification of commonalities and vari...

In this work we propose a new statistic deformable model that we call discriminant snake for 3D reconstruction in volumetric images. Our discriminant snake generalises the classical snake attracted by edge points, it deforms due to a generalised contour representation. The snake selects and classifies image features by a parametric classifier and each snaxel deforms to minimise the dissimilarit...

Feature modeling is a widely used technique in Software Product Line development. Feature models allow stakeholders to describe domain concepts in terms of commonalities and differences within a family of software systems. Developing a complex monolithic feature model can require significant effort and restrict the reusability of a set of features already modeled. We advocate using modeling tec...

Unmanned Avionics Systems (UAS) are real-time critical embedded systems that include high-integrity requirements. Most of these systems need to be certified before use, particularly in civil airspace. To reduce development cost, some UAS software is developed as part of a Software Product Line (SPL). A product-line comprises a reference architecture and a set of reusable core assets. New system...

A semi-supervised learning method, the on-line accelerated kernel feature analysis (Online AKFA) is presented. In On-line AKFA, features are extracted while data are being fed to the algorithm in small batches as the algorithm proceeds. The paper compares and contrasts the use of On-line AKFA and Off-line AKFA in CT colonography. On-line AKFA provides the flexibility to allow the feature space ...

Feature extraction algorithms delivering accurate results are computational intensive and cannot keep up with the demanded processing times on single processor systems in automated micropart assembly tasks. For this case an improved contour tracer for real-time edge-line extraction, using adaptive local thresholds, is introduced. In combination with an effective start point search, that concent...

In this paper we present an evaluation of a robust visual image tracker on echocardiographic image sequences. We show how the tracking framework can be customised to defne an appropriate shape-space that describes heart shape deformations that can be learntfrom a training data set. We also investigate an energy-based temporal boundary enhancement method to improve image feature measurement. Pre...