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Berkenalan dengan “Computer Vision”

Pengertian Computer Vision

Dalam buku Introductory Techniques for 3-D Computer Vision disebutkan bahwa computer vision adalah serangkaian teknik komputasi yang bertujuan untuk memperkirakan atau membuat eksplisit sifat geometris dan dinamis dari dunia 3D dari gambar digital.

Disiplin ilmu yang berhubungan pada computer vision secara prinsip pokok meliputi :

Image processing

pattern recognition

photogrammetry

 

Area Penelitian dan penerapannya :

Computer vision terus mengalami perkembangan dan menarik untuk dikaji, berikut diantaranya :

Contoh area penelitian computer vision :
image feature detection
contour representation
feature-based segmentation
range image analysis
shape modelling and representation
shape reconstruction from single-image cues
stereo vision
motion analysis
color vision
active and purposive vision
invariants
uncalibrated and self-calibrating systems
object detection
3-D object recognition
3-D object location
High-performance and real-time architectures dll

Contoh area penerapan computer vision :
Industrial inspection and quality control
reserve engineering
surveillance and security
face recognition
gesture recognition
road monitoring
Autonomous vehicles(land, under water, space vehicles)
hand-eye robotics systems
space and applications
military applications
medical image analysis (contoh MRI, CT, X-Rays dan sonar scan)
image databases
virtual reality, telepresence dan telerobotics dll

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