Abstract:
A photo filter (e.g., artistic) light field effect system comprises an eyewear device that includes a frame, a temple connected to a lateral side of the frame, and a depth-capturing camera. Execution of programming by a processor configures the photo filter light field effect system to apply a photo filter selection to: (i) a left raw image or a left processed image to create a left photo filter image, and (ii) a right raw image or a right processed image to create a right photo filter image. The photo filter light field effect system generates, a photo filter light field effect image with an appearance of a spatial rotation or movement, by blending together the left photo filter image and the right photo filter image based on a left image disparity map and a right image disparity map.
Abstract:
A photo filter (e.g., multi-dimensional) light field effect system includes an eyewear device having a frame, a temple connected to a lateral side of the frame, and a depth-capturing camera. Execution of programming by a processor configures the system to create an image in each of a least two dimensions and create a multi-dimensional light field effect image with an appearance of a spatial rotation or movement and transitional change, by blending together a left photo filter image and a right photo filter image in each dimension and blending the blended images from all dimensions.
Abstract:
A 3D imager comprising two cameras having fixed wide-angle and narrow angle FOVs respectively that overlap to provide an active space for the imager and a controller that determines distances to features in the active space responsive to distances provided by the cameras and a division of the active space into near, intermediate, and far zones.
Abstract:
An eye movement tracking device that can be mounted to standard eyeglasses as disclosed. The device comprises an illumination source, a time-of-flight (TOF) camera and a processor. The source transmits energy within a frequency band from a location proximate to an eye of a person, such that at least a first portion of the transmitted energy is reflected off a lens of eyewear worn by the person to subsequently reflect off the eye, and such that at least a second portion of the transmitted energy is transmitted through the lens to reflect off objects in the person's environment. The TOF camera detects reflections of at least the first portion of the transmitted energy, and distinguishes them from other energy detected by the TOF camera in said frequency band, based on TOF principles. The processor uses the detected reflections of the first portion of the transmitted energy to determine eye position.
Abstract:
A computing system generates a depth map from at least one image, detects objects in the depth map, and identifies anomalies in the objects from the depth map. Another computing system identifies at least one anomaly in an object in a depth map, and uses the anomaly to identify future occurrences of the object. A system includes a three dimensional (3D) imaging system to generate a depth map from at least one image, an object detector to detect objects within the depth map, and an anomaly detector to detect anomalies in the detected objects, wherein the anomalies are logical gaps and/or logical protrusions in the depth map.
Abstract:
Compatibility between a depth image consumer and a plurality of different depth image producers is provided by receiving a native depth image having unsupported depth camera parameters that are not compatible with a depth image consumer, and converting the native depth image to a virtual depth image having supported virtual depth camera parameters that are compatible with the depth image consumer. This virtual depth image is then output to the depth image consumer.
Abstract:
Systems and methods for increasing the resolution of a depth map by identifying and updating false depth pixels are described. In some embodiments, a depth pixel of the depth map is initially assigned a confidence value based on curvature values and localized contrast information. The curvature values may be generated by applying a Laplacian filter or other edge detection filter to the depth pixel and its neighboring pixels. The localized contrast information may be generated by determining a difference between the maximum and minimum depth values associated with the depth pixel and its neighboring pixels. A false depth pixel may be identified by comparing a confidence value associated with the false depth pixel with a particular threshold. The false depth pixel may be updated by assigning a new depth value based on an extrapolation of depth values associated with neighboring pixel locations.
Abstract:
A system and method for identifying a pointing organ or a pointing device in a field of imaging of a 3-D imaging system and for calculating a line of pointing relative to this organ or device are disclosed. The method and system may be used to enable a user to communicate with computer programs, such as computer games, 3-D design programs and the like. The method and system may further employ a trigger-like mechanism to identify a movement of a user that may be interpreted as trigger activation.
Abstract:
A depth camera system uses a structured light illuminator and multiple sensors such as infrared light detectors, such as in a system which tracks the Motion of a user in a field of view. One sensor can be optimized for shorter range detection while another sensor is optimized for longer range detection. The sensors can have a different baseline distance from the illuminator, as well as a different spatial resolution, exposure time and sensitivity. In one approach, depth values are obtained from each sensor by matching to the structured light pattern, and the depth values are merged to obtain a final depth map which is provided as an input to an application. The merging can involve unweighted averaging, weighted averaging, accuracy measures and/or confidence measures. In another approach, additional depth values which are included in the merging are obtained using stereoscopic matching among pixel data of the sensors.
Abstract:
Techniques are provided for de-aliasing depth images. The depth image may have been generated based on phase differences between a transmitted and received modulated light beam. A method may include accessing a depth image that has a depth value for a plurality of locations in the depth image. Each location has one or more neighbor locations. Potential depth values are determined for each of the plurality of locations based on the depth value in the depth image for the location and potential aliasing in the depth image. A cost function is determined based on differences between the potential depth values of each location and its neighboring locations. Determining the cost function includes assigning a higher cost for greater differences in potential depth values between neighboring locations. The cost function is substantially minimized to select one of the potential depth values for each of the locations.