Abstract: The invention relates to a process for preparing a meat-analogue food product. More specifically, the present invention relates to a process for preparing a meat-analogue food product having the appearance and the texture of meat and also relates to a meat-analogue food product obtained by the process.

Abstract: The invention relates to method for preparing a foodstuff in a food processing system (100), the system comprising solid state radio frequency cooking means (51) that transmits an electromagnetic wave to a food substrate and a cavity where the food is cooked, the method monitoring the return power losses, which are the difference between the power emitted by the solid state radio frequency cooking means (51) and the reflected power in the cavity, for optimising the delivery of the radio frequency power to the food substrate by controlling and adjusting at least two parameters: the emitted frequency of the solid state radio frequency cooking means (51) and the distance of the cooking means (51) to the food substrate. In the method of the invention, the dielectric properties, the water content and/or the compaction of the food substrate are monitored throughout the preparation method.

Abstract: Described are systems and methods for generating synthetic image data including synthetic images, depth information, and optical flow data. Embodiments of the invention assemble image scenes from virtual objects and capture realistic perspectives of images scenes as synthetic images. Realistic perspectives captured in synthetic images are defined by camera views created from camera settings files. To simulate capture performance of smartphone cameras, stereo cameras, and other actual camera devices, capture, calibration, and camera intrinsic parameters included in camera settings files are identical to parameters included in actual cameras. Synthetic image datasets generated by the systems and methods described herein are used to train machine learning systems generating machine learning models for performing computer vision tasks.

Abstract: The invention relates to a food system (100) for preparing a texturized non-meat food product from a dehydrated powder product with the appearance and the texture of meat, the system comprising: —a processing chamber (10) receiving the dehydrated food product, hydrating and structuring at least part of it, and extruding it into a mass of a certain shape; —driving means (20) driving in rotation primary and secondary processing tools (110, 111) within the processing chamber (10) for hydrating, structuring and extruding the mass of food product; —a fluid reservoir (30) supplying a fluid into the processing chamber for hydrating the food product and creating a food mass; such that the processing chamber (10) comprises three sequential sub-chambers: —a mixing sub-chamber (12) comprising a primary processing tool (110) for hydrating, optionally heating, homogenizing and/or structuring the dehydrated food product or at least part of it into a food mass in batch mode; wherein the volume of the mixing sub-chamber (12)

Abstract: Described are calibration and rectification systems and methods for 3D cameras. The calibration methods described herein derive calibration parameters in real time for multiple camera settings. Calibration parameters are used to rectify stereo images as part of a process for creating 3D images, videos, and VR or AR experiences. Additionally multi-camera systems for implementing the calibration and rectification methods are disclosed. 3D camera calibration methods involving a limited number of calibration points reduce the cost and complexity of conventional calibration methods while also allowing for higher performing 3D cameras having many possible configurations of camera settings.

Abstract: Described are systems and methods for generating synthetic image data including synthetic images, depth information, and optical flow data. Embodiments of the invention assemble image scenes from virtual objects and capture realistic perspectives of images scenes as synthetic images. Realistic perspectives captured in synthetic images are defined by camera views created from camera settings files. To simulate capture performance of smartphone cameras, stereo cameras, and other actual camera devices, capture, calibration, and camera intrinsic parameters included in camera settings files are identical to parameters included in actual cameras. Synthetic image datasets generated by the systems and methods described herein are used to train machine learning systems generating machine learning models for performing computer vision tasks.

Abstract: Described are image and video processing systems and methods for auto re-calibration of stereo camera devices. The auto re-calibration processes described herein transform image data into re-calibration data used to correct calibration errors in real time. The auto re-calibration processes leverage position data shifting, image data filtering, and disparity analysis to generate one or more calibration profiles that track the position of the camera modules included in stereo camera devices. Calibration profiles are then used to generate pixel shift parameters describing how to modify the position of image pixels and or camera modules to improve rectification and projection of 3D images and video frames. Additionally multi-camera systems implementing the auto re-calibration processes are disclosed.

Abstract: Described are digital camera devices for 3D Imaging. Embodiments of the invention capture and process sensory data including image data to produce 3D content and generate depth information. Digital camera devices improve upon existing camera devices by implementing dynamic calibration processes that improve the quality of image capture and image projection. In some embodiments the digital camera devices include an imaging system for performing computer vision tasks including scene reconstruction, event detection, video tracking, object recognition, 3D pose estimation, learning, indexing, motion estimation, object tracking, facial recognition, object counting, 3D imaging, image enhancement and image restoration.

Abstract: Described are digital camera devices for 3D Imaging. Embodiments of the invention capture and process sensory data including image data to produce 3D content and generate depth information. Digital camera devices improve upon existing camera devices by implementing dynamic calibration processes that improve the quality of image capture and image projection. In some embodiments the digital camera devices include an imaging system for performing computer vision tasks including scene reconstruction, event detection, video tracking, object recognition, 3D pose estimation, learning, indexing, motion estimation, object tracking, facial recognition, object counting, 3D imaging, image enhancement and image restoration.

Abstract: Described are image and video processing systems and methods for auto re-calibration of stereo camera devices. The auto re-calibration processes described herein transform image data into re-calibration data used to correct calibration errors in real time. The auto re-calibration processes leverage position data shifting, image data filtering, and disparity analysis to generate one or more calibration profiles that track the position of the camera modules included in stereo camera devices. Calibration profiles are then used to generate pixel shift parameters describing how to modify the position of image pixels and or camera modules to improve rectification and projection of 3D images and video frames. Additionally multi-camera systems implementing the auto re-calibration processes are disclosed.

Abstract: Described are calibration and rectification systems and methods for 3D cameras. The calibration methods described herein derive calibration parameters in real time for multiple camera settings. Calibration parameters are used to rectify stereo images as part of a process for creating 3D images, videos, and VR or AR experiences. Additionally multi-camera systems for implementing the calibration and rectification methods are disclosed. 3D camera calibration methods involving a limited number of calibration points reduce the cost and complexity of conventional calibration methods while also allowing for higher performing 3D cameras having many possible configurations of camera settings.

Abstract: The invention relates to a process for preparing a meat-analogue food product. More specifically, the present invention relates to a process for preparing a meat-analogue food product having the appearance and the texture of meat and also relates to a meat-analogue food product obtained by the process.

Abstract: A vegetable-based food product comprising at least 50 wt % protein, wherein the protein is gluten or is proteinaceous material derived from gluten, and wherein the product has the texture of minced meat. A method for preparing a vegetable-based food product including fermenting a gluten-based material with a mould and then processing the fermented product into a vegetable-based food product for use as a replacement for minced meat.