Implementation and evaluation of an open source stereo camera
The aim of this thesis is to make the field of applied machine vision easier to approach by proposing a fully open source FPGA based hardware system of a stereo camera. The importance of this task lays to the fact that the area of machine vision sensors is very proprietary which in turn discourag...
Κύριος συγγραφέας: | |
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Άλλοι συγγραφείς: | |
Μορφή: | Thesis |
Γλώσσα: | English |
Έκδοση: |
2019
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Θέματα: | |
Διαθέσιμο Online: | http://hdl.handle.net/10889/12566 |
Περίληψη: | The aim of this thesis is to make the field of applied machine vision easier to approach
by proposing a fully open source FPGA based hardware system of a stereo camera. The
importance of this task lays to the fact that the area of machine vision sensors is very
proprietary which in turn discourages newcomers and hinders the progress in related areas
and applications. The main processing capability of this module is to detect corners in
images using the Harris corner detector, along with other minor features such as applying
contrast compensation before the processing. To do that we create a pipeline of low level
filters (Sobel and Gaussian). This type of basic filtering is computationally heavy, so by
implementing it in hardware makes the whole system faster and more efficient. Every
concept exploited in the process of creating this design is presented in the Theoretical
Background Chapter and every hardware component designed is analyzed through block
diagrams in the chapter proceeding the theory one. The cameras and FPGAs we used
are also presented in a distinct chapter. The same goes for the experimental evaluation
process we followed. Remarks on future work and feature expansion on this project are
also made. |
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