Post by khatunejannat on Feb 15, 2024 6:23:23 GMT -5
For those who work in industrial sectors, it is common to have had contact with — or even implemented — a solution based on Computer Vision. It is not strange to also find Artificial Vision applications in the video surveillance or entertainment sector. In this post we are going to give a short introduction to some of the most popular generic Computer Vision libraries, so that those people interested in implementing a solution, or simply learning, can find a starting point here. These libraries can be used with cameras and sensors from any manufacturer, as they are not tied to any specific hardware manufacturer.
Sherlock is a software developed by DALSA, which is based on a graphical interface to carry out all programming. The tools it incorporates make it useful for programming Hong Kong Email List applications without having a very deep knowledge of Computer Vision. Its operating principle is based on defining areas of interest (ROI's) on which different functions can be applied. You can download a demo version on the manufacturer's website, which has the acquisition of camera images disabled, but which can be used to do whatever tests you can think of and learn. It can be a good starting point for learning how to implement Vision applications and is used, for example, in the SEAS Computer Vision course .
Halcon is a software for the development of industrial Vision applications, created and marketed by MVTec. It consists of a graphical interface for developing applications in a more visual way (HDevelop) and has its own programming language.
Also included are some programming libraries that will allow us to program applications in various languages (C, C++, C#, VisualBasic, .NET and Delphi). Halcon includes more than 1,600 image processing functions, allowing you to perform virtually all types of Vision applications, both 2D and 3D. The HALCON user can range from a programmer with basic knowledge, using the graphical interface, to an expert user, who can develop advanced applications using the libraries.
OpenCV is an open-source Computer Vision library originally developed by Intel in 1999. Since then it has been used in countless applications, from security systems with motion detection to process control applications where object recognition is required. It contains more than 500 functions covering a wide range of areas in the Vision process, such as object recognition, facial recognition, camera calibration, stereo vision and robotic vision, and new algorithms are continually added. Its main advantage is that it can be used for free, even for commercial applications. Another advantage is the large community of very active users who can solve almost any operating problem in a matter of a few hours through forums and mailing lists. The online documentation is also quite complete. Its main disadvantage is that it requires quite extensive knowledge of programming and Computer Vision to get the most out of it.
PCL is an open-source library of algorithms for processing point clouds and 3D geometry. Its development began in 2010 at Willow Garage and the first official version was launched in 2011. PCL is used exclusively for 3D Vision and its use has become very popular lately due to the launch of cheap 3D sensors like Microsoft's Kinect. The library contains algorithms for feature estimation, surface reconstruction, scene segmentation and object recognition. These algorithms have generally been used in robotics and perception applications. Its advantages and disadvantages are the same as OpenCV, since both libraries are at the cutting edge of Computer Vision, as opposed to commercial libraries, which usually contain older, more tested and, therefore, more robust algorithms.
Sherlock is a software developed by DALSA, which is based on a graphical interface to carry out all programming. The tools it incorporates make it useful for programming Hong Kong Email List applications without having a very deep knowledge of Computer Vision. Its operating principle is based on defining areas of interest (ROI's) on which different functions can be applied. You can download a demo version on the manufacturer's website, which has the acquisition of camera images disabled, but which can be used to do whatever tests you can think of and learn. It can be a good starting point for learning how to implement Vision applications and is used, for example, in the SEAS Computer Vision course .
Halcon is a software for the development of industrial Vision applications, created and marketed by MVTec. It consists of a graphical interface for developing applications in a more visual way (HDevelop) and has its own programming language.
Also included are some programming libraries that will allow us to program applications in various languages (C, C++, C#, VisualBasic, .NET and Delphi). Halcon includes more than 1,600 image processing functions, allowing you to perform virtually all types of Vision applications, both 2D and 3D. The HALCON user can range from a programmer with basic knowledge, using the graphical interface, to an expert user, who can develop advanced applications using the libraries.
OpenCV is an open-source Computer Vision library originally developed by Intel in 1999. Since then it has been used in countless applications, from security systems with motion detection to process control applications where object recognition is required. It contains more than 500 functions covering a wide range of areas in the Vision process, such as object recognition, facial recognition, camera calibration, stereo vision and robotic vision, and new algorithms are continually added. Its main advantage is that it can be used for free, even for commercial applications. Another advantage is the large community of very active users who can solve almost any operating problem in a matter of a few hours through forums and mailing lists. The online documentation is also quite complete. Its main disadvantage is that it requires quite extensive knowledge of programming and Computer Vision to get the most out of it.
PCL is an open-source library of algorithms for processing point clouds and 3D geometry. Its development began in 2010 at Willow Garage and the first official version was launched in 2011. PCL is used exclusively for 3D Vision and its use has become very popular lately due to the launch of cheap 3D sensors like Microsoft's Kinect. The library contains algorithms for feature estimation, surface reconstruction, scene segmentation and object recognition. These algorithms have generally been used in robotics and perception applications. Its advantages and disadvantages are the same as OpenCV, since both libraries are at the cutting edge of Computer Vision, as opposed to commercial libraries, which usually contain older, more tested and, therefore, more robust algorithms.