In this paper, we propose a novel face feature extraction method based on deep learning. Using synthesized multi-view face images, we train a deep face feature (DFF) extractor based on the correlation between projections of a face point on images from different views. A feature vector can be extracted for each pixel of the face image based on the trained DFF model, and it is more effective than...

Urban water quality is of great importance to our daily lives. Prediction of urban water quality help control water pollution and protect human health. In this work, we forecast the water quality of a station over the next few hours, using a multitask multi-view learning method to fuse multiple datasets from different domains. In particular, our learning model comprises two alignments. The firs...

Multi-view video acquisition is widely used for reconstruction and free-viewpoint rendering of dynamic scenes by directly resampling from the captured images. This paper addresses the problem of optimally resampling and representing multi-view video to obtain a compact representation without loss of the view-dependent dynamic surface appearance. Spatio-temporal optimisation of the multi-view re...

Multiple sequence alignment (MSA) is used to explore the similarity of several related protein sequences by providing a near optimal alignment of the characters in each sequence. Biologists require effective visualization of these alignments as part of their analysis. Although tools such as Jalview have been developed that provide a detailed view of different aspects of the alignments and metad...

The usability of high-precision and high-resolution 3D scanners is of crucial importance due to the increasing demand of 3D data in both professional and general-purpose applications. Simplified, intuitive and rapid object modeling requires effective and automated alignment pipelines capable to trace back each independently acquired range image of the scanned object into a common reference syst...

BACKGROUND Recently, a grayscale inversion view was reported to improve intra- and inter-observer reliabilities in measuring coronal curvature with Cobb and pedicle methods in scoliosis patients. However, the grayscale transformation has never been applied to the measurements of spinopelvic parameters. The purpose of this study was to compare the measurement reliabilities of the spinoplevic sag...