Aspects of the present invention relate to a compact optics module for a head mounted display including a DLP image source comprising a polarized light source providing illumination light, a flat reflective polarizer to reflect the illumination light toward the DLP image source and transmit image light, wherein the illumination light is provided at an angle to the DLP, a quarter wave retarder to change the polarization state of the illumination light as it is reflected by the DLP image source thereby providing image light, at least one light trap to absorb a portion of off-state image light, a lens element to provide a viewable field of view of on-state image light in an image displayed by the DLP image source, and a combiner to reflect the on-state image light toward a user's eye and provide a see-through view of a surrounding environment.

See-through computer display systems

Devices, methods, and software are disclosed for determining dimensions of a physical object using a mobile computer equipped with a motion sensing device. In an illustrative embodiment, the mobile computer can comprise a microprocessor, a memory, a user interface, a motion sensing device, and a dimensioning program executable by the microprocessor. The processor can be in communicative connection with executable instructions for enabling the processor for various steps. One step includes initiating a trajectory tracking mode responsive to receiving a first user interface action. Another step includes tracking the mobile computer's trajectory along a surface of a physical object by storing in the memory a plurality of motion sensing data items outputted by the motion sensing device. Another step includes exiting the trajectory tracking mode responsive to receiving a second user interface action. Another step includes calculating three dimensions of a minimum bounding box corresponding to the physical object.

Measuring object dimensions using mobile computer

Systems and methods for volume dimensioning packages are provided. A method of operating a volume dimensioning system may include the receipt of image data of an area at least a first three-dimensional object to be dimensioned from a first point of view as captured using at least one image sensor. The system can determine from the received image data a number of features in three dimensions of the first three-dimensional object. Based at least on part on the determined features of the first three-dimensional object, the system can fit a first three-dimensional packaging wireframe model about the first three-dimensional object. The system can display of an image of the first three-dimensional packaging wireframe model fitted about an image of the first three-dimensional object on a display device.

Volume dimensioning systems and methods

A terminal for measuring at least one dimension of an object includes at least one imaging subsystem and an actuator. The at least one imaging subsystem includes an imaging optics assembly operable to focus an image onto an image sensor array. The imaging optics assembly has an optical axis. The actuator is operably connected to the at least one imaging subsystem for moving an angle of the optical axis relative to the terminal. The terminal is adapted to obtain first image data of the object and is operable to determine at least one of a height, a width, and a depth dimension of the object based on effecting the actuator to change the angle of the optical axis relative to the terminal to align the object in second image data with the object in the first image data, the second image data being different from the first image data.

Terminals and methods for dimensioning objects

A method is presented for correcting errors in a 3D scanner. Measurement errors in the 3D scanner are determined by scanning each of a plurality of calibration objects in each of a plurality of sectors in the 3D scanner's field of view. The calibration objects have a known height, a known width, and a known length. The measurements taken by the 3D scanner are compared to the known dimensions to derive a measurement error for each dimension in each sector. An estimated measurement error is calculated based on scans of each of the plurality of calibration objects. When scanning target objects in a given sector, the estimated measurement error for that sector is used to correct measurements obtained by the 3D scanner.

Method of error correction for 3D imaging device

A method for processing data includes receiving a depth map of a scene containing a humanoid form. The depth map is processed so as to identify three-dimensional (3D) connected components in the scene, each connected component including a set of the pixels that are mutually adjacent and have mutually-adjacent depth values. Separate, first and second connected components are identified as both belonging to the humanoid form, and a representation of the humanoid form is generated including both of the first and second connected components.

Analysis of three-dimensional scenes

A method for processing data includes receiving a depth map of a scene containing a humanoid form The depth map is processed so as to identify three-dimensional (3D) connected components in the scene, each connected component including a set of the pixels that are mutually adjacent and have mutually-adjacent depth values Separate, first and second connected components are identified as both belonging to the humanoid form, and a representation of the humanoid form is generated including both of the first and second connected components

Identifying components of a humanoid form in three-dimensional scenes

Analysis of three-dimensional scenes with a surface model

PROBLEM TO BE SOLVED: To provide a firm and efficient method for processing a depth map.SOLUTION: The present invention provides a method for processing data, which has a step of receiving the depth map of a certain scene including the human-like shape. The depth map is processed for identifying three-dimensional (3D) coupling components in the scene. Each coupling component consists of a set of pixels which are adjacent to each other and have the next depth values to each other. Both of first and second individual separated coupling components are identified to belong to the human-like shape. Then, an image in the human-like shape is generated by including the first and second coupling components.

Amiad Gurman

Papers

Analysis of three-dimensional scenes

Identifying components of a humanoid form in three-dimensional scenes

Analysis of three-dimensional scenes with a surface model

Analysis of three-dimensional scene