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Harris and FAST corner detection on the NVIDIA Jetson TX2 using OpenCV

Bleijerveld, B. (2019) Harris and FAST corner detection on the NVIDIA Jetson TX2 using OpenCV.

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Abstract:3D modelling can be useful for a better diagnosis/prognosis in the health care. The NVIDIA Jetson TX2 is a system on a chip with intended usage for artificial intelligence and computer vision applications. The Jetson TX2 is a fairly new chip, a part of this research is exploring and explaining howto get startedwith computer vision applications on the NVIDIA Jetson TX2. The OpenCV library is an open source library for computer vision, image processing and machine learning. This library is used for the computer vision applications in this research. The relative orientation of images from different angles of the same object can be used to render a 3D model. Features can be detected on the images and these features can be used to determine the relative orientation. In this research two different corner detection methods are tested on their performance on the Jetson TX2, these are Harris corner detection and FAST corner detection. The illumination invariance of the methods will be compared and their performance of detecting corners from different angles.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Programme:Electrical Engineering BSc (56953)
Link to this item:http://purl.utwente.nl/essays/80932
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