412 results about "3d shapes" patented technology

A system, apparatus and method of obtaining data from a 2D image in order to determine the 3D shape of objects appearing in said 2D image, said 2D image having distinguishable epipolar lines, said method comprising: (a) providing a predefined set of types of features, giving rise to feature types, each feature type being distinguishable according to a unique bi-dimensional formation; (b) providing a coded light pattern comprising multiple appearances of said feature types; (c) projecting said coded light pattern on said objects such that the distance between epipolar lines associated with substantially identical features is less than the distance between corresponding locations of two neighboring features; (d) capturing a 2D image of said objects having said projected coded light pattern projected thereupon, said 2D image comprising reflected said feature types; and (e) extracting: (i) said reflected feature types according to the unique bi-dimensional formations; and (ii) locations of said reflected feature types on respective said epipolar lines in said 2D image.

A structured light system for object ranging/measurement is disclosed that implements a trapezoidal-based phase-shifting function with intensity ratio modeling using sinusoidal intensity-varied fringe patterns to accommodate for defocus error. The structured light system includes a light projector constructed to project at least three sinusoidal intensity-varied fringe patterns onto an object that are each phase shifted with respect to the others, a camera for capturing the at least three intensity-varied phase-shifted fringe patterns as they are reflected from the object and a system processor in electrical communication with the light projector and camera for generating the at least three fringe patterns, shifting the patterns in phase and providing the patterns to the projector, wherein the projector projects the at least three phase-shifted fringe patterns sequentially, wherein the camera captures the patterns as reflected from the object and wherein the system processor processes the captured patterns to generate object coordinates.

A method for three-dimensional shape measurement provides for generating sinusoidal fringe patterns by defocusing binary patterns. A method for three-dimensional shape measurement may include (a) projecting a plurality of binary patterns onto at least one object; (b) projecting three phase-shifted fringe patterns onto the at least one object; (c) capturing images of the at least one object with the binary patterns and the phase-shifted fringe patterns; (d) obtaining codewords from the binary patterns; (e) calculating a wrapped phase map from the phase-shifted fringe patterns; (f) applying the codewords to the wrapped phase map to produce an unwrapped phase map; and (g) computing coordinates using the unwrapped phase map for use in the three-dimensional shape measurement of the at least one object. A system for performing the method is also provided. The high-speed real-time 3D shape measurement may be used in numerous applications including medical science, biometrics, and entertainment.

Face recognition of a face, to determine whether the face correlates with an enrolled face, may include generating a personalized three-dimensional (3D) face model based on a two-dimensional (2D) input image of the face, acquiring 3D shape information and a normalized 2D input image of the face based on the personalized 3D face model, generating feature information based on the 3D shape information and pixel color values of the normalized 2D input image, and comparing the feature information with feature information associated with the enrolled face. The feature information may include first and second feature information generated based on applying first and second deep neural network models to the pixel color values of the normalized 2D input image and the 3D shape information, respectively. The personalized 3D face model may be generated based on transforming a generic 3D face model based on landmarks detected in the 2D input image.

Disclosed is an improved algorithm for estimating the 3D shape of a 3-dimensional object, such as a human face, based on information retrieved from a single photograph by recovering parameters of a 3-dimensional model and methods and systems using the same. Beside the pixel intensity, the invention uses various image features in a multi-features fitting algorithm (MFF) that has a wider radius of convergence and a higher level of precision and provides thereby better results.

A method determines an optimal set of viewpoints to acquire a 3D shape of a face. A view-sphere is tessellated with a plurality of viewpoint cells. The face is at an approximate center of the view-sphere. Selected viewpoint cells are discarded. The remaining viewpoint cells are clustered to a predetermined number of viewpoint cells according to a silhouette difference metric. The predetermined number of viewpoint cells are searched for a set of optimal viewpoint cells to construct a 3D model of the face.

The invention provides a preparation method for a zirconia ceramic rear cover of a mobile phone. The zirconia ceramic rear cover of the mobile phone prepared in the invention has the characteristics of high strength, high toughness, high size precision, etc. The rear cover with a maximum size is applicable to a mobile phone with a size of 6 inches, and the thickness of the rear cover may be 0.15 to 0.8 mm. Moreover, the zirconia ceramic rear cover may be in a flat shape, a 2D shape, a 3D shape or other complex shapes in virtue of different shaping dies, so requirements of mobile phones of different specifications can be met. The preparation method for the zirconia ceramic rear cover of the mobile phone has high production efficiency and is suitable for large-scale production.

An apparatus for providing two-phase heat transfer for semiconductor devices includes a vapor chamber configured to carry a cooling liquid, the vapor chamber having base section, and a plurality of three-dimensional (3D) shaped members. The plurality of 3D-shaped members have interior and exterior sidewalls, the 3D-shaped members being connected to the base section so that vapor carrying latent heat can reach the respective interior sidewalls and get transferred to the respective exterior sidewalls configured to be in contact with an external coolant. The vapor chamber is configured to be in contact with a semiconductor device in order to remove heat therefrom.

A method and system for generating stabilized intravascular ultrasonic images are provided. The system may include a probe instrument, such as a catheter, connected to a processor and a post-processor. The method of using the system to stabilize images and the method for stabilizing images involve the process by which the processor and post-processor stabilize the image. A computer readable medium containing executable instructions for controlling a computer containing the processor and post-processor to perform the method of stabilizing images is also provided. The probe instrument, which has a transmitter for transmitting ultrasonic signals and a receiver for receiving reflected ultrasonic signals that contain information about a tubular environment, such as a body lumen, preferably is a catheter. The processor and post-processor are capable of converting inputted signals into one or more, preferably a series of, images and the post-processor, which determines the center of the environment at each reflection position, detects the edges of the tubular environment and aligns the image center with the environment center thereby limiting the drift of images, which may occur due to movement of the environment, and stabilizing the images. The processor may also be programmed to filter images or series of images to improve the image stabilization and remove motion interference and/or may be programmed to extract the 3D shape of the environment. The method and device are of particular use where motion causes image drift, for example, the imaging a body lumen, in particular a vascular lumen, where image drift may occur due to heart beat or blood flow.

A 3D shape measurement apparatus for measuring a 3D shape of an object existing on a measurement area, comprising, a pattern projection unit for projecting a pattern having a periodicity onto the measurement area, and a capturing unit for capturing an image of the area where the pattern is projected, wherein the measurement area is specified by a reference plane, a projection area of the pattern projection unit, and a capturing area of the capturing unit, and the pattern projection unit projects the pattern to be focused on the reference plane. The apparatus further comprises a first calculation unit for calculating phase information of a pattern of the captured image, a second calculation unit for calculating defocus amounts of the pattern in the captured image, and a third calculation unit for calculating a 3D shape of the object based on the phase information and the defocus amounts.

A method of constructing a virtual model of a gemstone including the steps of performing measurements of the gemstone to construct a three-dimensional (3D) model of an exterior surface of the gemstone; identifying one or more visible inclusions within an interior volume of the gemstone; for each identified inclusion, performing the steps of determining a location and 3D shape of the inclusion within the interior volume of the gemstone; capturing at least one image of the inclusion; using the at least one image to determine relevant optical characteristics of the inclusion; and constructing a 3D virtual model of the inclusion, said model including the 3D shape of the inclusion and optical properties of the inclusion based upon said optical characteristics; constructing a 3D virtual model of the gemstone which includes the 3D virtual model of the exterior surface of the gemstone and the 3D virtual models of the one or more visible inclusions within the interior volume of the gemstone; and generating a dataset representing said 3D virtual model, wherein said dataset may be used in subsequent computer analysis to provide a user with information relating to a visual characteristic of the gemstone.

The invention relates to a method for processing video signals from a video sensor, in order to extract 3d shape information about objects represented in the video signals, the method comprising the following steps:

• • providing a memory in which objects are stored in a 3d shape space, the shape space being an abstract feature space encoding the objects' 3d shape properties, and
  • mapping a 2d video signal representation of an object in the shape space, the coordinates of the object in the shape space indicating the object's 3d shape.

Some examples provides a set of frameworks, process and methods aimed at enabling the expression and exploration of free-form and parametric 3D shape designs enabled through natural interactions with a hand-held mobile device acting as a controller for 3D virtual objects. A reference plane in a virtual space generated by the location of the mobile device may be used to select a 3D virtual object intersected by the reference plane. Positioning of the mobile device may also be used to control a pointer in the virtual space. In an example, the orientation of the mobile device may be detected by an accelerometer or gyroscope. In example, the position of the mobile device may be detected by a position sensor.

A 3D scanning device comprises: a digital light encoding unit comprising a digital micromirror device for encoding a rapidly changing shape signal onto a light beam directed to an object, a shape of said signal being selected such that distortions thereof by a contoured object reveal three-dimensional information of said contour; a detector synchronized with said digital light processing unit for detecting reflections of said light beam from said object, and a decoder for determining a 3D shape of said object from distortions of said signal in said detected reflections.

A method, device, system, and computer program for object recognition of a 3D object of a certain object class using a statistical shape model for recovering 3D shapes from a 2D representation of the 3D object and comparing the recovered 3D shape with known 3D to 2D representations of at least one object of the object class.

A method for reconstructing a 3D shape model of an object by using multi-view image information, includes: inputting multi-view images obtained by photographing the object from multiple viewpoints in a voxel space, and extracting silhouette information and color information of the multi-view images; reconstructing visual hulls by silhouette intersection using the silhouette information; and approximating polygons of cross-sections of the visual hulls to a natural geometric shape of the object by using the color information. Further, the method includes expressing a 3D geometric shape of the object by connecting the approximated polygons to create a mesh structure; extracting color textures of a surface of the object by projecting meshes of the mesh structure to the multi-view image; and creating a 3D shape model by modeling natural shape information and surface color information of the object.

The invention discloses a single-image three-dimensional reconstruction method based on a multi-stage neural network. The three-dimensional shapes in the existing three-dimensional shape set are rendered from multiple angles to obtain a training image set, and the training point cloud is obtained at the surface acquisition points thereof. A point cloud generation network is constructed, an image encoder is constructed by using depth residual network to extract image information, and a dual-branch primary decoder is constructed by using deconvolution network and full-connection network to generate initial point cloud. A point cloud refinement network is constructed, a point cloud encoder is constructed using a posture transformation network, a multilayer perceptron and a maximum pool function, an image encoder is constructed using a depth residual network, and an image is constructed using a full connection layer. A point cloud coupler and an advanced decoder generate a fine point cloud; Training the point cloud generation network and pre-training and fine-tuning the point cloud refinement network; The input image is reconstructed by using the trained model to obtain the 3D point cloud, and the surface mesh is reconstructed to generate the 3D shape represented by polygonal mesh.