Sponsored by the International Association for Pattern Recognition, this journal publishes high-quality, technical contributions in machine vision research and development. Machine Vision and Applications features coverage of all applications and engineering aspects of image-related computing, including original contributions dealing with scientific, commercial, industrial, military, and biomedical applications of machine vision. The journal places particular emphasis on the engineering and technology aspects of image processing and computer vision. It includes coverage of the following aspects of machine vision applications: algorithms, architectures, VLSI implementations, AI techniques and expert systems for machine vision, front-END sensing, multidimensional and multisensor machine vision, real-time techniques, image databases, virtual reality and visualization.
Machine Vision and Applications
Description
Identifiers
ISSN | 0932-8092 |
e-ISSN | 1432-1769 |
DOI | 10.1007/138.1432-1769 |
Publisher
Springer Berlin Heidelberg
Additional information
Data set: Springer
Articles
Machine Vision and Applications > 2019 > 30 > 7-8 > 1209-1227
Geometrical registration of a query image with respect to a 3D model, or pose estimation, is the cornerstone of many computer vision applications. It is often based on the matching of local photometric descriptors invariant to limited viewpoint changes. However, when the query image has been acquired from a camera position not covered by the model images, pose estimation is often not accurate and...
Machine Vision and Applications > 2019 > 30 > 7-8 > 1157-1180
Though deep neural networks have played a very important role in the field of vision-based hand gesture recognition, however, it is challenging to acquire large numbers of annotated samples to support its deep learning or training. Furthermore, in practical applications it often encounters some case with only one single sample for a new gesture class so that conventional recognition method cannot...
Machine Vision and Applications > 2019 > 30 > 7-8 > 1229-1241
This paper investigates the reconstruction of Van Gogh’s drawings which have been degraded in the course of time due to aging problems, like ink fading and discoloration. Learning to predict the past and original appearances of degraded drawings can help to envisage how the artist’s work may have looked at the time of creation. In this paper, we use reproductions as reference information for the past...