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A novel three-dimensional measurement technique is proposed. The methodology consists in mapping from the screen coordinates reported by the optical camera to the real world, and integrating distance gradients from the beginning to the end point, while also minimising the error through fitting pixel locations to a smooth curve. The results demonstrate accuracy of less than half a centimetre using Microsoft Kinect II.

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In this paper a new block based lossy image compression technique which is using rank reduction of the image and wavelet difference reduction (WDR) technique, is proposed. Rank reduction is obtained by applying singular value decomposition (SVD). The input image is divided into blocks of equal sizes after which quantization by SVD is carried out on each block followed by WDR technique. Reconstruction is carried out by decompressing each blocks bit streams and then merging all of them to obtain the decompressed image. The visual and quantitative experimental results of the proposed image compression technique are shown and also compared with those of the WDR technique and JPEG2000. From the results of the comparison, the proposed image compression technique outperforms the WDR and JPEG2000 techniques.

This paper introduces an innovative approach for estimating important body measurements according to the depth information extracted by photogrammetric scanning devices, such as Microsoft Kinect II, and verifies its applicability and efficiency through applying it to an experimental use-case concerning classification based on size, to be implemented in virtual fitting rooms. The mathematical framework consists, mainly, in constructing a projection from the screen coordinates associated with the pixels onto the real-world ones, and then integrating the geodesic distance gradients throughout a path connecting the beginning and end points. Besides, in order to reduce the inaccuracy through excluding the possible high-frequency noise, and to obtain more realistic measurements through minimizing the discrepancy between the original path and the one taken into account in the integration module, the path is fitted to a smooth curve in a separate stage before performing the geodesic-distancecalculation iterations. In the end, in order to verify the accuracy and preciseness of the proposed technique, it is applied for obtaining numerous body sizes, where for ensuring that the correct measurements are achieved, imaginary landmarks are placed on the bodies of the subjects. The results show that the accuracy is less than half a centimeter using Microsoft Kinect II.