Computer Vision
Computer Vision is the branch of Computer Science whose goal is to model the real world or to recognize objects from digital images. These images can be acquired using still and video cameras, infrared cameras, radars and specialized sensors such as those used in medical field. Therefore, Computer vision is a field that includes methods for acquiring, processing, analyzing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions. Computer vision has also been described as the enterprise of automating and integrating a wide range of processes and representations for vision perception.
Computer Vision Disciplines
Computer Vision can be divided in two disciplines, scientific and technological respectively.
- As a scientific discipline, computer vision is concerned with theory behind the artificial systems that extract information from the images.
- As a technological discipline, computer vision seeks to apply its theories and models to the construction of the computer vision systems.
Computer Vision related fields
Computer Vision can be related with fields as Artificial Intelligence, Control Robotics, Signal Processing, Physics, Imaging, Neurobiology, Mathematics and Machine Learning.
- Areas of artificial intelligence deal with autonomous planning or deliberation for robotical systems to navigate through an environment.
- Artificial intelligence and computer vision share other topics such as pattern recognition and learning techniques.
- Neurobiology, specifically the study of the biological vision system.
- Many methods for processing of one-variable signals, typically temporal signals, can be extended in a natural way to processing of two-variable signals or multi-variable signals in computer vision.
- The fields most closely related to computer vision are image processing, image analysis and machine vision. There is a significant overlap in the range of techniques and applications that these cover.
Since the first programmable electronic computer was born in the 1940s, computer science has been among academia’s fastest-moving disciplines. Today, its influence is seen everywhere – from air traffic control and space exploration to emerging fields such as robot-assisted surgery and artificial intelligence.
Computer Vision Syndromes
Computer Vision Syndrome, also referred to as Digital Eye Strain, describes a group of eye and vision-related problems that result from prolonged computer, tablet, e-reader and cell phone use. Many individuals experience eye discomfort and vision problems when viewing digital screens for extended periods. The level of discomfort appears to increase with the amount of digital screen use.
The most common symptoms associated with Computer Vision Syndrome (CVS) or Digital Eye Strain are
- eyestrain
- headaches
- blurred vision
- dry eyes
- neck and shoulder pain
These symptoms may be caused by:
- poor lighting
- glare on a digital screen
- improper viewing distances
- poor seating posture
- uncorrected vision problems
- a combination of these factors
The extent to which individuals experience visual symptoms often depends on the level of their visual abilities and the amount of time spent looking at a digital screen. Uncorrected vision problems like farsightedness and astigmatism, inadequate eye focusing or eye coordination abilities, and aging changes of the eyes, such as presbyopia, can all contribute to the development of visual symptoms when using a computer or digital screen device.
Solutions:
Solutions can be alleviated by obtaining regular eye care making proper changes in how you view the screen. Some important factors in preventing or reducing the symptoms are:
- Location of computer screen
- Lighting
- Anti-glare screens
- Searing positions
- Rest breaks
- Blinking
