Abstract: Aligning a source and target model includes calculating a shape descriptor for a plurality of edge points, grouping the edge points by shape descriptor and selecting representative points for each group. Target and source point pair features (PPFs) are calculated between pairs of representative points on the target and source models, where PPFs defines the relative position and orientation of point pairs. Target PPFs are matched with each source PPF and the point pairs associated with the matched PPFs are transformed to align the location and edge direction of a target PPF point with the location and edge direction of a source PPF point. An angle is determined to align the second target PPF point with the second source PPF point, and a modal angle is found among the determined rotation angles. An output transformation is calculated using the transformations associated with the modal angle.

Abstract: Computer implemented methods and computerized apparatus are provided for global registration between a first point cloud and a second point cloud obtained by a scanning device on an identical spatial scene at two separate instances. The method comprises extracting a first set of discriminative line-pairs from the first point cloud and a second set of discriminative line-pairs from the second point cloud, wherein a discriminative line-pair is a line-pair having high discriminative power compared to a randomly selected line-pair. In some embodiments, then a plurality of matching line-pair groups between the two sets of discriminative line-pairs are identified in accordance with one thresholding criterion related to between-line relationship, line geometry and line location; and a compass angle criterion related to compass errors of the scanning device. The method further comprises finding most reliable correspondence between the two point clouds by voting and then computing a global transformation matrix.

Abstract: Computer implemented methods and computerized apparatus are provided for global registration between a first point cloud and a second point cloud obtained by a scanning device on an identical spatial scene at two separate instances. The method comprises extracting a first set of discriminative line-pairs from the first point cloud and a second set of discriminative line-pairs from the second point cloud, wherein a discriminative line-pair is a line-pair having high discriminative power compared to a randomly selected line-pair. In some embodiments, then a plurality of matching line-pair groups between the two sets of discriminative line-pairs are identified in accordance with one thresholding criterion related to between-line relationship, line geometry and line location; and a compass angle criterion related to compass errors of the scanning device. The method further comprises finding most reliable correspondence between the two point clouds by voting and then computing a global transformation matrix.

Abstract: Spin resonance spectroscopy and/or imaging is achieved using a system that combines longitudinal (e.g., along the z-axis) detection with a modulated fictitious field generated by a transverse plane (e.g., xy-plane) RF field. Based on z-axis detection of magnetization polarized by this fictitious field as it is modulated (e.g., modulated on and off, or otherwise), spin resonance signals (e.g., EPR, NMR) are measurable with high isolation simultaneous transmit and receive capability. Additionally or alternatively, spin relaxation times can be measured using the described systems.

Abstract: Computer implemented methods and computerized apparatus for identifying planes of a 3D object in a 3D scene are provided. The method comprises receiving a point cloud and performs plane segmentation. In one embodiment, the point cloud is voxelized into a plurality of voxels of equal dimensions and the plurality of voxels are classified into three categories, wherein each first category voxel satisfies a planar requirement and a first neighborhood constraint, each second category voxel satisfies the planar requirement and a second neighborhood constraint, and each third category voxel does not satisfy the planar requirement.

Abstract: Computer implemented methods and computerized apparatus for posture, dimension and shape measurements of at least one 3D object in a scanned 3D scene are provided. The method comprises receiving a point cloud and performs 3D geometric feature extraction. In one embodiment, the 3D geometric feature extraction is based on a 3D hybrid voxel-point structure, which comprises a hybrid voxel-point based normal estimation, a hybrid voxel-point based plane segmentation, a voxel-based geometric filtering, a voxel-based edge detection and a hybrid voxel-point based line extraction. Through the process of 3D geometric feature extraction, the geometric features are then passed to the geometric-based dimension and shape measurements for various applications. After 3D geometric feature extraction, a further process of feature-based object alignment is performed.

Abstract: Computer implemented methods and computerized apparatus for posture, dimension and shape measurements of at least one 3D object in a scanned 3D scene are provided. The method comprises receiving a point cloud and performs 3D geometric feature extraction. In one embodiment, the 3D geometric feature extraction is based on a 3D hybrid voxel-point structure, which comprises a hybrid voxel-point based normal estimation, a hybrid voxel-point based plane segmentation, a voxel-based geometric filtering, a voxel-based edge detection and a hybrid voxel-point based line extraction. Through the process of 3D geometric feature extraction, the geometric features are then passed to the geometric-based dimension and shape measurements for various applications. After 3D geometric feature extraction, a further process of feature-based object alignment is performed.

Abstract: A system and method of detecting a posture of at least one predetermined part of an object comprising the steps of extracting a first object shape from a first image taken by a first image sensor, computing a characteristic dimension value of the predetermined part within a predetermined region of the first object shape, constructing a mask based on the characteristic dimension value, extracting a profile of the predetermined part from the first object shape by applying the mask on the first object shape, and identifying at least one predefined feature point in the profile of the predetermined part, thereby detecting the posture of the predetermined part is disclosed.

Abstract: A system and method of detecting a posture of at least one predetermined part of an object comprising the steps of extracting a first object shape from a first image taken by a first image sensor, computing a characteristic dimension value of the predetermined part within a predetermined region of the first object shape, constructing a mask based on the characteristic dimension value, extracting a profile of the predetermined part from the first object shape by applying the mask on the first object shape, and identifying at least one predefined feature point in the profile of the predetermined part, thereby detecting the posture of the predetermined part is disclosed.

Abstract: Disclosed are systems and methods for reproducing a body motion via a network, and systems, devices and methods for identifying a body motion. In an embodiment, the system for reproducing a body motion via a network comprises a sensor configured to capture a surface electromyography signal generated by a body motion of a user at a first terminal in the network; a processor configured to receive the signal from the sensor and identify the body motion based on the received signal, and send information associated with the body motion to a second terminal in the network, the processor being located in the first terminal; and a mechanical member configured to receive the information associated with the body motion from the second terminal and reproduce the body motion based on the received information.

Abstract: Disclosed are systems and methods for reproducing a body motion via a network, and systems, devices and methods for identifying a body motion. In an embodiment, the system for reproducing a body motion via a network comprises a sensor configured to capture a surface electromyography signal generated by a body motion of a user at a first terminal in the network; a processor configured to receive the signal from the sensor and identify the body motion based on the received signal, and send information associated with the body motion to a second terminal in the network, the processor being located in the first terminal; and a mechanical member configured to receive the information associated with the body motion from the second terminal and reproduce the body motion based on the received information.