Abstract: Techniques are described for using computing devices to perform automated operations to control acquisition of images in a defined area, including obtaining and using data from one or more hardware sensors on a mobile device that is acquiring the images, analyzing the sensor data (e.g., in a real-time manner) to determine the geometric orientation of the mobile device in three-dimensional (3D) space, and using that determined orientation to control the acquisition of further images by the mobile device. In some situations, the determined orientation information may be used in part to automatically generate and display a corresponding GUI (graphical user interface) that is overlaid on and augments displayed images of the environment surrounding the mobile device during the image acquisition process, so as to control the mobile device's geometric orientation in 3D space.

Abstract: Techniques are described for using multiple devices to automatically determine the acquisition location of an image from a camera device, such as within a building interior and by using data from the multiple devices (e.g., visual data from the camera device's image, and additional data captured by a separate mobile computing device in the same area as the camera device), and for subsequently using determined image acquisition location information in one or more further automated manners. The image may be a panorama image or of another type, and the determined acquisition location for such an image may be at least a location on the building's floor plan—in addition, the automated image acquisition location determination may be further performed without having or using information from any depth sensors or other distance-measuring devices about distances from an image's acquisition location to walls or other objects in the surrounding building.

Abstract: Techniques are described for using computing devices to perform automated operations to control acquisition of images in a defined area, including obtaining and using data from one or more hardware sensors on a mobile device that is acquiring the images, analyzing the sensor data (e.g., in a real-time manner) to determine the geometric orientation of the mobile device in three-dimensional (3D) space, and using that determined orientation to control the acquisition of further images by the mobile device. In some situations, the determined orientation information may be used in part to automatically generate and display a corresponding GUI (graphical user interface) that is overlaid on and augments displayed images of the environment surrounding the mobile device during the image acquisition process, so as to control the mobile device's geometric orientation in 3D space.

Abstract: An interface or communications system for a neural probe, the interface or communications system comprising at least one probe interface, an optical communications interface and a processing system. The at least one probe interface is configured to interface with at least one neural probe so as to receive data collected by the probe. The processing system is configured to process the data from the at least one probe interface and provide the processed data to the optical communications interface. The optical communications interface is configured to communicate the processed data to a remote device, e.g. using optical wireless communications. The optical communications interface has the large bandwidth available that will allow the scaling up of recording sites from the neural probe without resulting in undue size, weight and/or power consumption.

Abstract: Techniques are described for using computing devices to perform automated operations to control acquisition of images in a defined area, including obtaining and using data from one or more hardware sensors on a mobile device that is acquiring the images, analyzing the sensor data (e.g., in a real-time manner) to determine the geometric orientation of the mobile device in three-dimensional (3D) space, and using that determined orientation to control the acquisition of further images by the mobile device. In some situations, the determined orientation information may be used in part to automatically generate and display a corresponding GUI (graphical user interface) that is overlaid on and augments displayed images of the environment surrounding the mobile device during the image acquisition process, so as to control the mobile device's geometric orientation in 3D space.

Abstract: Techniques are described for using a smart phone or other mobile device to perform automated operations for generating panorama images of building environments and for subsequently using the generated panorama images in further automated manners. In at least some situations, the generation of a panorama image by a mobile device is based at least in part on automatically acquiring multiple constituent images on the mobile device in multiple directions from an acquisition location and on concurrently combining acquired constituent images on the mobile device, such as in a real-time manner relative to the constituent image capture, to generate a panorama image with 360° of horizontal coverage of the view from that acquisition location. Information about such identified building floor plans may be used in various automated manners, including for controlling navigation of devices (e.g., autonomous vehicles), for display on client devices in corresponding graphical user interfaces, etc.

Abstract: Techniques are described for using multiple devices to automatically determine the acquisition location of an image from a camera device, such as within a building interior and by using data from the multiple devices (e.g., visual data from the camera device's image, and additional data captured by a separate mobile computing device in the same area as the camera device), and for subsequently using determined image acquisition location information in one or more further automated manners. The image may be a panorama image or of another type, and the determined acquisition location for such an image may be at least a location on the building's floor plan—in addition, the automated image acquisition location determination may be further performed without having or using information from any depth sensors or other distance-measuring devices about distances from an image's acquisition location to walls or other objects in the surrounding building.

Abstract: Methods, computer program products, and apparatuses for reducing sticking during a lithography process are disclosed. An exemplary method of reducing sticking of an object to a modified surface that is used to support the object in a lithography process can include controlling a light source to deliver light to a native surface thereby causing ablation of at least a portion of the native surface to increase the roughness of the native surface thereby forming the modified surface. The increased roughness reduces the ability of the object to stick to the modified surface.