Abstract: Various implementations disclosed herein include devices, systems, and methods that generate floorplans and measurements using a three-dimensional (3D) representation of a physical environment generated based on sensor data.

Abstract: Systems and processes for locating objects and environmental mapping are provided. For example, a device may receive an input including a reference to a first object, wherein the input includes a request for a location of the first object, and the first object is located in a physical environment. The device may determine a location of the first object, and in response to receiving the input, if first criteria are met, provide a description of the location, wherein a criterion of the one or more first criteria is met when the location is available, and the description includes a relationship between the first object and a reference within the physical environment. If second criteria are met, the device may forgo providing the description of the location, wherein a criterion of the one or more second criteria is met when the location is not available.

Abstract: Various implementations disclosed herein include devices, systems, and methods that provide a 3D room plan that combines 2D shapes representing elements of a room that are approximately planar (e.g., walls, wall openings, windows, doors, etc.) with 3D primitives representing non-planar elements (e.g., tables, chairs, appliances, etc.). A 3D room plan is a 3D representation of a room or other physical environment that generally identifies or otherwise represents 3D positions of one or more walls, floors, ceilings, other boundaries, other regions, windows, doors, openings, and 3D objects (e.g., objects having significant height, width, and depth in 3 dimensions) within the environment. For example, a 3D floor plan using 2D shapes to represent walls, windows, doors, etc. may be combined with 3D primitives such as 3D bounding boxes representing 3D objects to form a 3D room plan.

Abstract: Various implementations disclosed herein include devices, systems, and methods that generate floorplans and measurements using a three-dimensional (3D) representation of a physical environment generated based on sensor data.

Abstract: Various implementations disclosed herein include devices, systems, and methods that generate floorplans and measurements using a three-dimensional (3D) representation of a physical environment generated based on sensor data.

Abstract: Various implementations disclosed herein include devices, systems, and methods that generate floorplans and measurements using a three-dimensional (3D) representation of a physical environment generated based on sensor data.

Abstract: Various implementations disclosed herein include devices, systems, and methods that generate floorplans and measurements using a three-dimensional (3D) representation of a physical environment generated based on sensor data.

Abstract: Techniques are disclosed for editing captured media to overcome operational difficulties that may arise during capture operations. According to these techniques, content may be captured with a pair of cameras, a first camera having a wider field of view than a second camera. Object(s) may be detected from captured content from the wider field of view camera. The captured content may be processed from the wider field of view camera in a location of at least one detected object. Typically, operators may attempt to frame content using content from the narrower field of view camera. As a result, operators may be unaware that desired content is captured using a second, wider field of view camera. Results from the processed wider field of view data may be proposed to operators for review and, if desired, retention.

Abstract: Various implementations disclosed herein include devices, systems, and methods that generate floorplans and measurements using a three-dimensional (3D) representation of a physical environment generated based on sensor data.

Abstract: Various implementations disclosed herein include devices, systems, and methods that generate floorplans and measurements using a three-dimensional (3D) representation of a physical environment generated based on sensor data.

Abstract: Various implementations disclosed herein include devices, systems, and methods that generate floorplans and measurements using a three-dimensional (3D) representation of a physical environment generated based on sensor data.

Abstract: Techniques described herein provide efficient object detection and tracking in video images, such as may be used for real-time camera control in power-limited mobile image capture devices. The techniques include performing object detection on a first subset of frames of an input video, detecting an object and object location in a first detection frame of the first subset of frames, and tracking the detected object on a second subset of frames of the input video after the first detection frame.

Abstract: Techniques are disclosed for editing captured media to overcome operational difficulties that may arise during capture operations. According to these techniques, content may be captured with a pair of cameras, a first camera having a wider field of view than a second camera. Object(s) may be detected from captured content from the wider field of view camera. The captured content may be processed from the wider field of view camera in a location of at least one detected object. Typically, operators may attempt to frame content using content from the narrower field of view camera. As a result, operators may be unaware that desired content is captured using a second, wider field of view camera. Results from the processed wider field of view data may be proposed to operators for review and, if desired, retention.

Abstract: Techniques described herein provide efficient object detection and tracking in video images, such as may be used for real-time camera control in power-limited mobile image capture devices. The techniques include performing object detection on a first subset of frames of an input video, detecting an object and object location in a first detection frame of the first subset of frames, and tracking the detected object on a second subset of frames of the input video after the first detection frame, wherein the second subset does not include frames of the first subset.

Abstract: Techniques described herein provide efficient object detection and tracking in video images, such as may be used for real-time camera control in power-limited mobile image capture devices. The techniques include performing object detection on a first subset of frames of an input video, detecting an object and object location in a first detection frame of the first subset of frames, and tracking the detected object on a second subset of frames of the input video after the first detection frame.

Abstract: Techniques described herein provide efficient object detection and tracking in video images, such as may be used for real-time camera control in power-limited mobile image capture devices. The techniques include performing object detection on a first subset of frames of an input video, detecting an object and object location in a first detection frame of the first subset of frames, and tracking the detected object on a second subset of frames of the input video after the first detection frame, wherein the second subset does not include frames of the first subset.