Previous Topic: Computer Graphics in Digital Image Processing
Computer Vision needs some knowledge from other fields in order to understand the operation of human vision system, listed Fields are:
- Electrical Engineering
- Biology
- Mathematics
- Cognitive science
- Computer science
- Physiology
Q: What is the hierarchy of computer vision?
We divide computer vision in to three different categories that are listed below:
High level vision: So in this vision we talk about the conceptual description of a scene like behavior, activity and intention.
Low level vision: So in this vision we talk about the feature extraction from process image.
Intermediate level vision: So in this vision we talk about 3D scene interpretations and objects recognition.
Some related fields that overlaps with computer vision are:
Photogrammetric: We use this field to obtain accurate measurements from images.
Image Processing: We use this field for manipulation of any image.
Pattern Recognition: We talk about the different techniques to classify different patterns.
Q: What is the basic difference between image processing and computer vision?
Computer vision: Computer vision is descriptions of objects (Physical) from any image. Computer vision output will be a description of structures or we can say an interpretation of structures in 3D scene.
Image Processing: We talk about image transformation in image processing and the output and input will be an image in image processing.
Major Examples are:
- Security
- Transportation
- Medicine
- Robotics
- Industrial
- Obstacles avoidance
- Localization
- Assembly
- Manipulation
- Navigation
- Vision-guided robotics surgery
- Classification and detection
- 2D/3D segmentation
- Document understanding
- Assembly
- Label and bar-code reading
- Industrial inspection
- Surveillance detecting
- Biometrics
- Safety
- Autonomous vehicle
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