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3D measurement constitutes an important topic in computer vision, having different applications such as range sensoring, industrial inspection of manufactured parts, reverse engineering (digitization of complex, free-form surfaces), object recognition, 3D map building, biometrics, clothing design and others. At the same time, one of the most powerful trends in the IT industry is the wide availability of high-performance smartphones. Starting with Apple's iPhone in the 2007, the era of modern smartphones begins, resulting in smartphone becoming a visual computing powerhouse. It has a high speed CPU, 3D graphic processor, DSP for image and video processing, high resolution camera and high quality color display and quite impressive local storage capabilities enhanced with the external storage possibilities (SD card). In addition, we are witnessing that the technological manufacturing advancements have been allowing to upgrade a rudimental phone with more and more pieces of hardware (e.g GPS, accelerometer, magnetometer, gyroscope, temperature sensor), which in turn enable all kinds of applications on the smartphone. Therefore, turning additionally a smartphone into powerful 3D reconstruction device opens the new application and research avenues which are beyond a simple gadget form. The aim of this work is to propose 3D reconstruction solutions, both from the HW point of view and the SW point of view. In the former case, we will investigate the implementation of structured light as discussed in more detail further below. In the latter case we will investigate combining a smartphone with a standalone 3D depth sensor.
Short description of the task performed by Croatian partner