SeLibCV

Computer vision as a computational technology has made a big advance in many scientific disciplines including biomedical, industrial, social, and natural sciences. This technology still remains underused in small and medium scale research communities, labs, and to individual researchers that collectively produce the majority of scientific outcomes. There are two main reasons: (1) Most of the computer vision algorithms are complicated in code, and their implementations are available for only a few platforms, and (2) Local development of computer vision algorithms requires different softwares and packages, and it also needs too much knowledge. These operational restrictions cause various difficulties to utilize them, and even more, it makes different challenges to establish novel experiments and develop new research ideas.

 

 

The overall objective of the SeLibCV is to provide a Software as a Service based library for computer vision researchers worldwide that facilitates Rapid Application Development (RAD), and provides application-to-application interaction by tiny services available on the Internet. An Internet connection is all we need! The main functionality of the SeLibCV covers a wide range of computer vision algorithms including image processing, features extraction, object detection, and 3D surface reconstruction.

  What is SeLibCV?

SeLibCV is an easy-to-use and high available service library for computer vision researchers worldwide. It is a new “delivery model” that provides both human-oriented and application-oriented interfaces for highly demanded computer vision algorithms.
SeLibCV facilitates Rapid Application Development (RAD), and fast prototyping for computer vision applications, leading to reproducible researches by tiny services available on the Internet. An Internet connection is all we need!

 

SeLibCV Project

SeLibCV is an ongoing research project being developed in the Biomedical Modeling and Visualization Lab at University of Wisconsin-Milwaukee.
The Biomedical Modeling and Visualization Lab has been established in Computer Science department at UW-Milwaukee, directed by Prof. Zeyun Yu.
The main functionality of the SeLibCV covers a wide range of computer vision algorithms including image processing, features detection and extraction, object localization, and 3D surface reconstruction.

 

Terms of Usage

SeLibCV is publicly and freely available for any academic, educational, and research purposes.
SeLibCV users may include: Scientist, Students, Professors, Researchers, Instructors, and Application Developers.

 

SeLibCV Attributes

No worries No worries about the platforms (e.g., Linux, Windows, and /or OS X).
No need to develop several lines of code.
No need to install any specific packages (e.g., Matlab, OpenCV).
No need to be an expert in computer vision area.
We can easily utilize SeLibCV services using any programming languages.

We can also use SeLibCV web based application using only a browser.

 

Some Technical Advantages

Interoperability.
Usability.
Reusability.
Deployability.
Flexibility and scalability.

Just-in-Time integration.

 

How to use the SeLibCV

(1) Web Application In this way, you only need to employ an Internet browser (e.g., Google Chrome, Firefox, IE) to upload your images, select the desired algorithm, and checkout the results.
(2) Web service You can develop an application using any programming languages (e.g., Java, Python) to call (invoke) SeLibCV services. In this case, you can apply SeLibCV services in your local images.

 

SeLibCV is publicly and freely available for any academic, educational and research purposes. The SeLibCV is supported by Biomedical Modeling and Visualization Laboratory in Computer Science Department at University of Wisconsin-Milwaukee , USA.

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