A method of generating a 3D reconstruction of a scene, the scene comprising a plurality of cameras positioned around the scene, comprises: obtaining the extrinsics and intrinsics of a virtual camera within a scene; accessing a data structure so as to determine a camera pair that is to be used in reconstructing the scene from the viewpoint of the virtual camera; wherein the data structure defines a voxel representation of the scene, the voxel representation comprising a plurality of voxels, at least some of the voxel surfaces being associated with respective camera pair identifiers; wherein each camera pair identifier associated with a respective voxel surface corresponds to a camera pair that has been identified as being suitable for obtaining depth data for the part of the scene within that voxel and for which the averaged pose of the camera pair is oriented towards the voxel surface; identifying, based on the obtained extrinsics and intrinsics of the virtual camera, at least one voxel that is within the field of view of the virtual camera and a corresponding voxel surface that is oriented towards the virtual camera; identifying, based on the accessed data structure, at least one camera pair that is suitable for reconstructing the scene from the viewpoint of the virtual camera, and generating a reconstruction of the scene from the viewpoint of the virtual camera based on the images captured by the cameras in the identified at least one camera pair.

A method of generating a 3D reconstruction of a scene, the scene comprising a plurality of cameras positioned around the scene, comprises: obtaining the extrinsics and intrinsics of a virtual camera within a scene; accessing a data structure so as to determine a camera pair that is to be used in reconstructing the scene from the viewpoint of the virtual camera; wherein the data structure defines a voxel representation of the scene, the voxel representation comprising a plurality of voxels, at least some of the voxel surfaces being associated with respective camera pair identifiers; wherein each camera pair identifier associated with a respective voxel surface corresponds to a camera pair that has been identified as being suitable for obtaining depth data for the part of the scene within that voxel and for which the averaged pose of the camera pair is oriented towards the voxel surface; identifying, based on the obtained extrinsics and intrinsics of the virtual camera, at least one voxel that is within the field of view of the virtual camera and a corresponding voxel surface that is oriented towards the virtual camera; identifying, based on the accessed data structure, at least one camera pair that is suitable for reconstructing the scene from the viewpoint of the virtual camera, and generating a reconstruction of the scene from the viewpoint of the virtual camera based on the images captured by the cameras in the identified at least one camera pair.

Vision-assist devices and methods for calibrating a position of a vision-assist device worn by a user are disclosed. In one embodiment, a method of calibrating a vision-assist device includes capturing a calibration image using at least one capturing device of the vision-assist device, obtaining at least one attribute of the calibration image, and comparing the at least one attribute of the calibration image with a reference attribute. The method further includes determining an adjustment of the at least one image sensor based at least in part on the comparison of the at least one attribute of the calibration image with the reference attribute, and providing an output corresponding to the determined adjustment of the vision-assist device.

A vision-assist device may include at least one image sensor for generating image data corresponding to an environment, a user input device for receiving user input regarding one or more physical characteristics of a user, and a processor. The processor may be programmed to receive the image data from the at least one image sensor, receive the user input from the user input device, and adjust an alignment of the at least one image sensor based on the received image data and the user input. Methods for aligning an image sensor are also provided.

An integrated system for automatic forming, picking, and inspection of a grinding wheel mesh piece and a method thereof, including a visual inspection system (1), a conveying system (2), a cutting system (3), and a picking system (4); the conveying system (2) is used to precisely control a conveying action of a cutting section conveying platform (51) and a picking section conveying platform (52), and the visual inspection system (1) is used to acquire an image of a grinding wheel mesh cloth, establish virtual origin coordinates of a cutting layout and center coordinates of the grinding wheel mesh piece after cutting, recognize defects of the grinding wheel mesh cloth, and calibrate qualified center coordinates and unqualified center coordinates; the cutting system (3) is used to cut the grinding wheel mesh cloth moved to the cutting section conveying platform (51) to obtain a circular grinding wheel mesh piece.

An integrated system for automatic forming, picking, and inspection of a grinding wheel mesh piece and a method thereof, including a visual inspection system (1), a conveying system (2), a cutting system (3), and a picking system (4); the conveying system (2) is used to precisely control a conveying action of a cutting section conveying platform (51) and a picking section conveying platform (52), and the visual inspection system (1) is used to acquire an image of a grinding wheel mesh cloth, establish virtual origin coordinates of a cutting layout and center coordinates of the grinding wheel mesh piece after cutting, recognize defects of the grinding wheel mesh cloth, and calibrate qualified center coordinates and unqualified center coordinates; the cutting system (3) is used to cut the grinding wheel mesh cloth moved to the cutting section conveying platform (51) to obtain a circular grinding wheel mesh piece.

Methods, systems, and apparatus, including computer programs encoded on computer-readable storage media, for automated camera positioning for feeding behavior monitoring. In some implementations, a system obtains an image of a scene, a spatial model that corresponds to a subfeeder, and calibration parameters of a camera, the system determines a size of the subfeeder in the image of the scene, the system selects an updated position of the camera relative to the subfeeder, the system provides the updated position of the camera relative to the subfeeder to a winch controller, and the system moves the camera to the updated position.

Methods, systems, and apparatus, including computer programs encoded on computer-readable storage media, for automated camera positioning for feeding behavior monitoring. In some implementations, a system obtains an image of a scene, a spatial model that corresponds to a subfeeder, and calibration parameters of a camera, the system determines a size of the subfeeder in the image of the scene, the system selects an updated position of the camera relative to the subfeeder, the system provides the updated position of the camera relative to the subfeeder to a winch controller, and the system moves the camera to the updated position.

An image processing apparatus includes a first evaluator configured to evaluate under a first evaluation condition a focus state of each of a plurality of image data acquired by consecutive capturing, a second evaluator configured to evaluate the focus state of each of the plurality of image data under a second evaluation condition different from the first evaluation condition, and a recorder configured to record first evaluation information indicating an evaluation result under the first evaluation condition and second evaluation information indicating an evaluation result under the second evaluation condition.

An image processing apparatus includes a first evaluator configured to evaluate under a first evaluation condition a focus state of each of a plurality of image data acquired by consecutive capturing, a second evaluator configured to evaluate the focus state of each of the plurality of image data under a second evaluation condition different from the first evaluation condition, and a recorder configured to record first evaluation information indicating an evaluation result under the first evaluation condition and second evaluation information indicating an evaluation result under the second evaluation condition.