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SUMMARY PhD. THESIS

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. The possibility of acquiring the depth information from the distance by using optical „close-up”<br />

means (lenses); this is a major advantage compared to the methods that use structured light or the<br />

propagation time of some laser beam.<br />

c. The proposed algorithm for „depth from light polarisation” is sufficiently flexible to allow the<br />

implementation on video sequences in real time. This is due to the fact that the implementation is<br />

based on a finite number of simple mathematical operations (multiplications and additions).<br />

d. Both solutions are based on regular 2D photo / video sensors and require minimum<br />

additions/transformations for enabling 3D acquisition.<br />

The research activity, based on the study of different already available technologies, techniques and<br />

algorithms for capturing the depth information for 3D - but also on the actual implementation of an<br />

algorithm for „depth from defocus” and, respectively, on developing a new method that uses<br />

information from light polarisation - proved that the proposed approach could be easily extended and<br />

integrated into future photo/video 3D aware cameras.<br />

Chapter 5 presented an architecture for real-time, pixel-based and frame based processing of high<br />

definition video (1920 x 1080 pixels per frame, 50 frames per second). The implementation, using<br />

FPGA technology and Look Up Tables has the following advantages over the ASIC (”application<br />

specific integrated circuits”) based version:<br />

a. Independence of video processing speed from the complexity of the algorithm that analytically<br />

describes it. So, no matter how complex the expressions used to compute the final pixel value<br />

are, the actual processing is performed in the same amount of time.<br />

b. The possibility of hardware reuse for different processing. The use of the FPGA technology<br />

allows the easy reconfiguration of the processing, including for future 3D video systems.<br />

c. Easy extension and integration of other user defined processing / functions. The proposed<br />

architecture, based on Look Up Tables, enables the addition of further processing functions<br />

according to the user needs.<br />

d. The possibility for integration of third party processing functions that are defined using<br />

proprietary equations and the availability to further ensure copyright protection.<br />

The research effort, resulting in a functional study of a look-up table based video processing<br />

architecture performed using a software simulator, implemented by the author and in a working proofof-concept<br />

hardware model, proved that the approach, as well as the actual integration in a video camera<br />

is feasible.<br />

Chapter 6 closes the thesis with a summary and conclusions of the entire endeavour.<br />

Main Contributions and Conclusions<br />

In the context of the research performed by the author on the existing literature as well as the result of<br />

the implemented simulations and functional models, this thesis brought the following main<br />

contributions to the field of 2D&3D vision systems and state of the art:<br />

a. An overview of the main technological aspects that support the current development of 3D<br />

systems has been realised, namely the advances in CMOS and CCD sensor technology and in<br />

PLASMA, LCD, OLED display technology<br />

5

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