Abstract: The invention concerns a microphone probe having a body being substantially a first solid of revolution with a number of audio sensors distributed thereon and located in the recesses. The recesses have substantially a shape of a second body of revolution with an axis of symmetry perpendicular to the surface of the body. The sensors are connected to an acquisition unit, that delivers audio signals to the output. The audio sensors are digital audio sensors comprising printed circuit board with MEMS microphone element mounted thereon, wherein MEMS microphone element is mounted on the side of the printed circuit board facing the inner side of the body, so that the sound reaches MEMS microphone element via recess and opening. The depth of recesses is in a range between 3 and 20 mm. The acquisition unit has a clocking device determining common time base for audio sensors.

Abstract: The invention concerns a microphone probe having a body being substantially a first solid of revolution with a number of audio sensors distributed thereon and located in the recesses. The recesses have substantially a shape of a second body of revolution with an axis of symmetry perpendicular to the surface of the body. The sensors are connected to an acquisition unit, that delivers audio signals to the output. The audio sensors are digital audio sensors comprising printed circuit board with MEMS microphone element mounted thereon, wherein MEMS microphone element is mounted on the side of the printed circuit board facing the inner side of the body, so that the sound reaches MEMS microphone element via recess and opening. The depth of recesses is in a range between 3 and 20 mm. The acquisition unit has a clocking device determining common time base for audio sensors.

Abstract: A method for estimating a size of an object present on two images representing the same scene from different points of view, the method comprising: determining an AAM image model; matching the AAM image model to the images to find a set of parameters describing the shape of the model (pc) and the appearance of the model (?c) for which minimal matching errors for both images occur; and estimating the size of the object based on the differences in locations of points of the AAM image model in the images. The image model is matched to both images mutually, i.e. by using information from both images.

Abstract: An image coding method. The method includes encoding a first image, the first image having a reduced spatial resolution relative to an input image, wherein values of the first image depend on energy of corresponding areas of the input image, and encoding a first shape information of the shape of a spatial spectrum of the input image. The method further includes reconstructing a second image from the encoded first image, reconstructing a second shape information from the encoded first shape information, and generating a noise image having an intensity described by the second image and having a spectrum shape described by the second shape information.