The Hausdorff distance (HD) between two point sets is a commonly used dissimilarity
measure for comparing point sets and image segmentations. Especially when very large …

The purpose of this paper is to give a survey on the notions of distance between subsets
either of a metric space or of a measure space, including definitions, a classification, and a …

Abstract The Hausdorff Distance (HD) is a very important similarity measurement in Pattern
Recognition, Shape Matching and Artificial Intelligence. Because of its inherent …

The terrestrial laser scanning technology is increasingly applied in the deformation
monitoring of tunnel structures. However, outliers and data gaps in the terrestrial laser …

Bump-less Cu/adhesive hybrid bonding is a promising technology for 2.5 D/3D integration.
The remaining issues of this technology include high Cu-Cu bonding temperature, long …

This work presents a methodology for generic facial expression transfer, aiming to speed the
process of generating facial animation for interactive applications. We propose an adaptive …

Whilst there is a common agreement on the need to design e-learning systems able to take
into account more explicitly the'context'in which learners operate within organizations in …

In this paper we propose a head-shoulder contour estimation model for human figures in still
images, captured in a frontal pose. The contour estimation is guided by a learned head …

Image segmentation metrics have been extensively used in the literature to compare
segmentation algorithms among each other, or relative to a ground-truth segmentation …

In this paper we propose a clustering-based learning approach to improve an existing model
for human head-shoulder contour estimation. The contour estimation is guided by a learned …