1232 results about "Human-body model" patented technology

Symmetrical / asymmetrical bidirectional S-shaped I-V characteristics with trigger voltages ranging from 10 V to over 40 V and relatively high holding current are obtained for advanced sub-micron silicided CMOS (Complementary Metal Oxide Semiconductor) / BiCMOS (Bipolar CMOS) technologies by custom implementation of P1-N2-P2-N1 / / N1-P3-N3-P1 lateral structures with embedded ballast resistance 58, 58A, 56, 56A and periphery guard-ring isolation 88-86. The bidirectional protection devices render a high level of electrostatic discharge (ESD) immunity for advanced CMOS / BiCMOS processes with no latchup problems. Novel design-adapted multifinger 354 / interdigitated 336 layout schemes of the ESD protection cells allow for scaling-up the ESD performance of the protection structure and custom integration, while the I-V characteristics 480 are adjustable to the operating conditions of the integrated circuit (IC). The ESD protection cells are tested using the TLP (Transmission Line Pulse) technique, and ESD standards including HBM (Human Body Model), MM (Machine Model), and IEC (International Electrotechnical Commission) IEC 1000-4-2 standard for ESD immunity. ESD protection performance is demonstrated also at high temperature (140° C.). The unique high ratio of dual-polarity ESD protection level per unit area, allows for integration of fast-response and compact protection cells optimized for the current tendency of the semiconductor industry toward low cost and high density-oriented IC design. Symmetric / asymmetric dual polarity ESD protection performance is demonstrated for over 15 kV HBM, 2 kV MM, and 16.5 kV IEC for sub-micron technology.

Completely automated end-to-end method and system for markerless motion capture performs segmentation of articulating objects in Laplacian Eigenspace and is applicable to handling of the poses of some complexity. 3D voxel representation of acquired images are mapped to a higher dimensional space (k), where k depends on the number of articulated chains of the subject body, so as to extract the 1-D representations of the articulating chains. A bottom-up approach is suggested in order to build a parametric (spline-based) representation of a general articulated body in the high dimensional space followed by a top-down probabilistic approach that registers the segments to an average human body model. The parameters of the model are further optimized using the segmented and registered voxels.

The invention relates to a human body model obtaining method and a network virtual fitting system based on a depth camera. The method comprises the steps of 1, generating mark points on the surface of a model human body, meanwhile, collecting depth images of the model human body from multiple angles through the depth camera, and therefore obtaining depth image sequences covering the surface of the model human body and comprising the mark points, wherein the mark points cover the surface of the model human body and are used for determining characteristics of the surface of the model human body; 2, performing target depth information point cloud network reconstruction on each frame of depth images in the depth image sequences; 3, splicing the reconstructed depth images into a three-dimensional model of the model human body according to the reconstructed mark points in the depth images. Compared with the prior art, the human body model obtaining method and the network virtual fitting system based on the depth camera can obtain the accurate human body three-dimensional model and the garment three-dimensional model, virtual fitting is achieved according to the models, and the real fitting effect can be obtained.