Abstract: Systems, methods, and software are described which enable robust measurement of distances between 3D points, such as for pupillary distance (PD) of a wearer of corrective lenses that are known to be coplanar from a color-and-depth camera, e.g., a red-green-blue-depth (RGB-D) camera. Examples can provide a late fusion pipeline that first detects and tracks 2D landmarks in color imagery, projects those detections (detected 2D landmarks) into the depth frame, and discards measurements that appear noncoplanar and nonparallel. A user can be directed to change poses to precisely correct for nonparallel camera poses. Temporal filters can be used for the resulting distance measurements.

Abstract: Methods, techniques, and systems are provided that measure a person's facial features and pupillary distance using a single camera and provide accurate sizing and fitting of eyewear. Three primary steps include 3D face alignment, reference object (e.g., card) placement, and facial measurement calculation. A system for measuring point distances of facial feature includes a camera configured to produce output signals on a channel corresponding to one or more images; a memory including computer-executable instructions; and a processor coupled to the memory and operative to execute the computer-executable instructions for measuring the person's facial features.

Abstract: Systems, methods, and software are described which enable robust measurement of distances between 3D points, such as for pupillary distance (PD) of a wearer of corrective lenses that are known to be coplanar from a color-and-depth camera, e.g., a red-green-blue-depth (RGB-D) camera. Examples can provide a late fusion pipeline that first detects and tracks 2D landmarks in color imagery, projects those detections (detected 2D landmarks) into the depth frame, and discards measurements that appear noncoplanar and nonparallel. A user can be directed to change poses to precisely correct for nonparallel camera poses. Temporal filters can be used for the resulting distance measurements.

Abstract: Methods, techniques, apparatus, and algorithms are described for robustly measuring real-world distances using any mobile device equipped with an accelerometer and monocular camera. A general software implementation processes 2D video, precisely tracking points of interest across frames to estimate the unsealed trajectory of the device, which is used to correct the device's inertially derived trajectory. The visual and inertial trajectories are then aligned in scale space to estimate the physical distance travelled by the device and the true distance between the visually tracked points.

Abstract: Methods, techniques, apparatus, and algorithms are described for robustly measuring real-world distances using any mobile device equipped with an accelerometer and monocular camera. A general software implementation processes 2D video, precisely tracking points of interest across frames to estimate the unsealed trajectory of the device, which is used to correct the device's inertially derived trajectory. The visual and inertial trajectories are then aligned in scale space to estimate the physical distance travelled by the device and the true distance between the visually tracked points.