Abstract: Methods, systems, and devices are provided for measuring dark adaptation of one or both eyes of a patient, and more particularly, for measuring dark adaptation with a mobile device application. An exemplary method includes exposing an eye of a patient to a light source to bleach a retinal location of the eye, displaying on a mobile device a figure with a luminance and waiting until the patient communicates with the mobile device to acknowledge that the patient can see the figure, measuring and recording a level of the luminance and a time period between first displaying the figure and the patient communicating with the mobile device, continuing to display additional figures with decreasing luminance one at a time, and determining by a processor dark adaptation measurements of the patent based on the measured and recorded luminance and time periods.

Abstract: Disclosed are a mobile device and method which include acquiring, by an image acquisition unit installed in a mobile device, an image of eyes of a patient while light provided by a light source reflects from an optical surface of the eyes of the patient; and obtaining, by a processor installed in the mobile device, ocular misalignment measurements, including a magnitude and a direction of ocular misalignment in the eyes of the patient, using the acquired image or set of images.

Abstract: Methods, systems, and devices are provided for measuring dark adaptation of one or both eyes of a patient, and more particularly, for measuring dark adaptation with a mobile device application. An exemplary method includes exposing an eye of a patient to a light source to bleach a retinal location of the eye, displaying on a mobile device a figure with a luminance and waiting until the patient communicates with the mobile device to acknowledge that the patient can see the figure, measuring and recording a level of the luminance and a time period between first displaying the figure and the patient communicating with the mobile device, continuing to display additional figures with decreasing luminance one at a time, and determining by a processor dark adaptation measurements of the patent based on the measured and recorded luminance and time periods.

Abstract: Disclosed are a mobile device and method which include acquiring, by an image acquisition unit installed in a mobile device, an image of eyes of a patient while light provided by a light source reflects from an optical surface of the eyes of the patient; and obtaining, by a processor installed in the mobile device, ocular misalignment measurements, including a magnitude and a direction of ocular misalignment in the eyes of the patient, using the acquired image or set of images.

Abstract: Disclosed are a mobile device and method which include acquiring, by an image acquisition unit installed in a mobile device, an image of eyes of a patient while light provided by a light source reflects from an optical surface of the eyes of the patient; and obtaining, by a processor installed in the mobile device, ocular misalignment measurements, including a magnitude and a direction of ocular misalignment in the eyes of the patient, using the acquired image or set of images.

Abstract: Methods, systems, and devices are provided for measuring dark adaptation of one or both eyes of a patient, and more particularly, for measuring dark adaptation with a mobile device application. An exemplary method includes exposing an eye of a patient to a light source to bleach a retinal location of the eye, displaying on a mobile device a figure with a luminance and waiting until the patient communicates with the mobile device to acknowledge that the patient can see the figure, measuring and recording a level of the luminance and a time period between first displaying the figure and the patient communicating with the mobile device, continuing to display additional figures with decreasing luminance one at a time, and determining by a processor dark adaptation measurements of the patent based on the measured and recorded luminance and time periods.

Abstract: Disclosed are a mobile device and method which include acquiring, by an image acquisition unit installed in a mobile device, an image of eyes of a patient while light provided by a light source reflects from an optical surface of the eyes of the patient; and obtaining, by a processor installed in the mobile device, ocular misalignment measurements, including a magnitude and a direction of ocular misalignment in the eyes of the patient, using the acquired image or set of images.

Abstract: In some implementations, there is provided a method. The method may include receiving data characterizing a plurality of digital video frames; detecting a plurality of features in each of the plurality of digital video frames; determining, from the detected features, a local scale change and a translational motion of one or more groups of features between at least a pair of the plurality of digital video frames; and calculating a likelihood of collision. Related apparatus, systems, techniques, and articles are also described.

Abstract: Disclosed are a mobile device and method which include acquiring, by an image acquisition unit installed in a mobile device, an image of eyes of a patient while light provided by a light source reflects from an optical surface of the eyes of the patient; and obtaining, by a processor installed in the mobile device, ocular misalignment measurements, including a magnitude and a direction of ocular misalignment in the eyes of the patient, using the acquired image or set of images.

Abstract: In some implementations, there is provided a method. The method may include receiving data characterizing a plurality of digital video frames; detecting a plurality of features in each of the plurality of digital video frames; determining, from the detected features, a local scale change and a translational motion of one or more groups of features between at least a pair of the plurality of digital video frames; and calculating a likelihood of collision. Related apparatus, systems, techniques, and articles are also described.

Abstract: In some implementations, there is provided a method. The method may include receiving data characterizing a plurality of digital video frames; detecting a plurality of features in each of the plurality of digital video frames; determining, from the detected features, a local scale change and a translational motion of one or more groups of features between at least a pair of the plurality of digital video frames; and calculating a likelihood of collision. Related apparatus, systems, techniques, and articles are also described.

Abstract: In some implementations, there is provided a method. The method may include receiving data characterizing a plurality of digital video frames; detecting a plurality of features in each of the plurality of digital video frames; determining, from the detected features, a local scale change and a translational motion of one or more groups of features between at least a pair of the plurality of digital video frames; and calculating a likelihood of collision. Related apparatus, systems, techniques, and articles are also described.