UCERD Rawalpindi
Supercomputing Center
UCERD Murree

Introduction (Slides)

Introduction to Computer Vision

(Slides)

Introduction to Python (Slides) (examples datatypes)

Filtering Convolution (Slides)

Transformation (Slides)

Features Description (Slides)

Video Processing (Slides)

Recognition (Slides)

Machine Learning (Slides) (code)
 
Computer Vision provides an intensive introduction to the process of generating a symbolic description of an environment from an image. The course describes the physics of image formation, motion vision and recovering shapes from shading. Binary image processing and filtering are presented as preprocessing steps. Further topics include object representation alignment, stereo vision, analog and digital VLSI. Applications to biomedical imaging, robotics and intelligent machine interaction are discussed.

The students will have the unique opportunity to use Visual Processing System having cutting-edge NVIDIA Jetson TK1 DevKit and heterogeneous multi-core hardware and C/C++ programming model linked with open source libraries. Student learn practical introduction to key hardware and software topics including algorithms, processors, sensors, tools, libraries, and standards currently used for vision-based application and system design.

Advanced Computer Vision

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