Computer Vision and Computer Graphics
Computer vision is concerned with modeling and replicating human vision using computer software and hardware. Formally if we define computer vision then its definition would be that computer vision is a discipline that studies how to reconstruct, interrupt and understand a 3d scene from its 2d images in terms of the properties of the structure present in scene.
It needs knowledge from the following fields in order to understand and stimulate the operation of human vision system.
- Computer Science
- Electrical Engineering
- Cognitive Science
Computer Vision Hierarchy
Computer vision is divided into three basic categories that are as following:
Low-level vision: includes process image for feature extraction.
Intermediate-level vision: includes object recognition and 3D scene Interpretation
High-level vision: includes conceptual description of a scene like activity, intention and behavior.
Computer Vision overlaps significantly with the following fields:
Image Processing: it focuses on image manipulation.
Pattern Recognition: it studies various techniques to classify patterns.
Photogrammetry: it is concerned with obtaining accurate measurements from images.
Computer Vision Vs Image Processing
Image processing studies image to image transformation. The input and output of image processing are both images.
Computer vision is the construction of explicit, meaningful descriptions of physical objects from their image. The output of computer vision is a description or an interpretation of structures in 3D scene.
- Industrial Automation
- Localization-determine robot location automatically
- Obstacles avoidance
- Assembly (peg-in-hole, welding, painting)
- Manipulation (e.g. PUMA robot manipulator)
- Human Robot Interaction (HRI): Intelligent robotics to interact with and serve people
- Classification and detection (e.g. lesion or cells classification and tumor detection)
- 2D/3D segmentation
- 3D human organ reconstruction (MRI or ultrasound)
- Vision-guided robotics surgery
Industrial Automation Application
- Industrial inspection (defect detection)
- Barcode and package label reading
- Object sorting
- Document understanding (e.g. OCR)
- Biometrics (iris, finger print, face recognition)
- Surveillance-detecting certain suspicious activities or behaviors
- Autonomous vehicle
- Safety, e.g., driver vigilance monitoring
Computer graphics are graphics created using computers and the representation of image data by a computer specifically with help from specialized graphic hardware and software. Formally we can say that Computer graphics is creation, manipulation and storage of geometric objects (modeling) and their images (Rendering).
The field of computer graphics developed with the emergence of computer graphics hardware. Today computer graphics is use in almost every field. Many powerful tools have been developed to visualize data. Computer graphics field become more popular when companies started using it in video games. Today it is a multibillion dollar industry and main driving force behind the computer graphics development. Some common applications areas are as following:
- Computer Aided Design (CAD)
- Presentation Graphics
- 3d Animation
- Education and training
- Graphical User Interfaces
Computer Aided Design
- Used in design of buildings, automobiles, aircraft and many other product
- Use to make virtual reality system.
- Commonly used to summarize financial, statistical data
- Use to generate slides
- Used heavily in the movie industry by companies such as Pixar, DresmsWorks
- To add special effects in games and movies.
Education and training
- Computer generated models of physical systems
- Medical Visualization
- 3D MRI
- Dental and bone scans
- Stimulators for training of pilots etc.
Graphical User Interfaces
- It is used to make graphical user interfaces objects like buttons, icons and other components