Journal Information
Computer Vision and Image Understanding (CVIU)
http://www.journals.elsevier.com/computer-vision-and-image-understanding/
Impact Factor:
2.645
Publisher:
Elsevier
ISSN:
1077-3142
Viewed:
11549
Tracked:
41

Call For Papers
The central focus of this journal is the computer analysis of pictorial information. Computer Vision and Image Understanding publishes papers covering all aspects of image analysis from the low-level, iconic processes of early vision to the high-level, symbolic processes of recognition and interpretation. A wide range of topics in the image understanding area is covered, including papers offering insights that differ from predominant views.

Research Areas Include:

• Theory
• Early vision
• Data structures and representations
• Shape
• Range
• Motion
• Matching and recognition
• Architecture and languages
• Vision systems
Last updated by Dou Sun in 2019-11-24
Special Issues
Special Issue on Computer Vision & Biometrics in Healthcare Monitoring, Diagnosis and Treatment
Submission Date: 2021-01-31

In the last decades the healthcare industry has been supported by an ever increasing number of Computer Vision applications. One of the emerging fields in this scenario is biometric traits and related research that are typically aimed at security applications involving person authentication and identification. However, the increasing sensitiveness and image quality of the sensors available nowadays, along with the high accuracy and robustness achieved by the classification algorithms proposed nowadays, open new applicative horizons in the context of healthcare, to the aim of improving the supply of medical treatments in a more customized way, as well as computational tools for early diagnosis. The main implications of Computer Vision for medical usage are imaging analysis, predictive analysis and healthcare monitoring using biometrics in order to minimize false positives in the diagnostic process or control the treatment. Indeed, biometrics such as face and gait, or other body-dynamics features, have the potential to be used for detecting and assess the evolution of symptoms related to many pathologies affecting body appearance and its dynamic signature. To this regard, the availability of powerful multi-sensors equipped mobile and wearable devices provides a ubiquitous platform to perform the continuous acquisition and monitoring of biometric information. In particular, deep learning approaches are expected to be particularly suitable in recognizing such kind of biometric patterns, enabling the early recognition and the staging of neuro-degenerative diseases. The goal of this special issue is to solicit high quality contributions on: i) investigating the usage of computer vision and biometric signals in the context of healthcare applications - monitoring, diagnosis and treatment; ii) proposing novel methods and techniques, particularly by exploiting, but not limited to, deep learning approaches. We look for unpublished and finished work that has not been submitted elsewhere in any form yet. TOPICS ▪ Biometric traits analysis for neuro-degenerative disease early detection and staging ▪ Symptoms-related biometric patterns detection and recognition ▪ Deep learning methods for biometrics-based early illness recognition ▪ Multimodal biometrics for psycho-physical condition assessment ▪ Detection and classifications of static and/or dynamic facial patterns associated to relevant clinical conditions ▪ Detection and classifications of body-dynamics patterns associated to relevant clinical conditions ▪ Multi-biometrics patient profiling ▪ Continuous biometrics monitoring for patient-centric healthcare ▪ Patient-specific health-signals based identification and monitoring ▪ IA based Medical Imaging
Last updated by Dou Sun in 2020-08-11
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