Lecture Notes in Computational Vision and Biomechanics

Journal Details

Lecture Notes in Computational Vision and Biomechanics

ISSN : 22129391

P-ISSN : 22129413

CiteScore : 3.40

Impact Factor : Not Indexed in Web of Science

Open Acess : NO

Acceptance rate : N/A

Publishing Model :

Article Processing Charge : N/A

First Response : N/A

First post-review decision : N/A

Submission to Acceptance : N/A

Acceptance to publication : N/A

PUBLICATION TYPE : Book Series

COUNTRY : Country Switzerland

Publisher :Springer International Publishing AG

publisher Address : GEWERBESTRASSE 11, CHAM, SWITZERLAND, CH-6330

H-Index : 23

Homepage

Contact : tavares@fe.up.pt

Transparent Peer Review : NO

Subject Area and Category

Computer Science
- Artificial Intelligence
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Signal Processing
Engineering
- Biomedical Engineering
- Mechanical Engineering

About Journal

Research related to the analysis of living structures (Biomechanics) has been carried out extensively in several distinct areas of science, such as, for example, mathematics, mechanical, physics, informatics, medicine and sports. However, for its successful achievement, numerous research topics should be considered, such as image processing and analysis, geometric and numerical modelling, biomechanics, experimental analysis, mechanobiology and enhanced visualization, and their application on real cases must be developed and more investigation is needed. Additionally, enhanced hardware solutions and less invasive devices are demanded. On the other hand, Image Analysis (Computational Vision) aims to extract a high level of information from static images or dynamical image sequences. An example of applications involving Image Analysis can be found in the study of the motion of structures from image sequences, shape reconstruction from images and medical diagnosis. As a multidisciplinary area, Computational Vision considers techniques and methods from other disciplines, like from Artificial Intelligence, Signal Processing, mathematics, physics and informatics. Despite the work that has been done in this area, more robust and efficient methods of Computational Imaging are still demanded in many application domains, such as in medicine, and their validation in real scenarios needs to be examined urgently. Recently, these two branches of science have been increasingly seen as being strongly connected and related, but no book series or journal has contemplated this increasingly strong association. Hence, the main goal of this book series in Computational Vision and Biomechanics (LNCV&B) consists in the provision of a comprehensive forum for discussion on the current state-of-the-art in these fields by emphasizing their connection.

Quartiles

Artificial Intelligence

Computer Science Applications

Computer Vision and Pattern Recognition

Signal Processing

Biomedical Engineering

Mechanical Engineering

Documents per Year

Citations per Year

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