Qualcomm Incorporated

Daqri, LLC

Roy Lawrence Ashok Inigo

Brian Mullins

Michael Gervautz

Lucas Kazansky

Ryan Ries

Irene Reisner-Kollmann

Istvan Siklossy

Cassie Li

Daniel Wagner

Kai Zhou

Gerald V Wright, Jr

Per Nielsen

Qi Pan

Bernhard Jung

Dominik Schnitzer

Clemens Birklbauer

Frank Chester Irving, Jr

Timotheos Leahy

Kiyoung Kim

Christopher Michaels Garcia

David Hayes

Arash Kalantari

Johannes Scharl

Jonathan Trevor Freeman

Douglas Rieck

Erick Mendez

Umberto Laurent Cannarsa

Siamak Sepahram

Kyle Cherry

Kyle Florek

Romain Tallonneau

Jieun Kim

Per O Nielsen

An augmented reality (AR) display application generates mapped visualization content overlaid on a real world physical environment. The AR display application receives sensor feeds, location information, and orientation information from wearable devices within the environment. A tessellation surface is visually mapped to surfaces of the environment based on a depth-based point cloud. A texture is applied to the tessellation surface and the tessellation may be viewed overlaying the surfaces of the environment via a wearable device.

Environmental mapping system

Portable computing device

A mobile platform detects and tracks a three-dimensional (3D) object using occlusions of a two-dimensional (2D) surface. To detect and track the 3D object, an image of the 2D surface with the 3D object is captured and displayed and the 2D surface is detected and tracked. Occlusion of a region assigned as an area of interest on the 2D surface is detected. The shape of the 3D object is determined based on a predefined shape or by using the shape of the area of the 2D surface that is occluded along with the position of the camera with respect to the 2D to calculate the shape. Any desired action with respect to the position of the 3D object on the 2D surface may be performed, such as rendering and displaying a graphical object on or near the displayed 3D object.

Using occlusions to detect and track three-dimensional objects

Techniques for managing applications associated with a mobile device are provided. The techniques disclosed herein include techniques for obtaining an image of an object in the view of a camera associated with a mobile device, identifying the object in the image based on attributes of the object extracted from the image, and determining whether one or more applications are associated with the object. If there are one or more applications associated with the real-world object, an application associated with the object can be automatically launched on the mobile device. The association between a real-world object and an application may be identified by a visual indicator, such as an icon, symbol, or other markings on the object that indicates that the object is associated with one or more applications.

Image-based application launcher

Headwear

Techniques described herein provide a method for defining virtual content for real objects that are unknown or unidentified at the time of the development of the application for an augmented reality (AR) environment. For example, at the time of development of an AR application, the application developer may not know the context that the mobile device may operate in and consequently the types or classes of real object and the number of real objects that the AR application may encounter. In one embodiment, the mobile device may detect unknown objects from a physical scene. The mobile device may then associate an object template with the unknown object based on the physical attributes, such as height, shape, size, etc., associated with the unknown object. The mobile device may render a display object at the pose of the unknown object using at least one display property of the object template.

Generating augmented reality content for unknown objects

Techniques are presented for expanding a digital representation of a physical plane from a physical scene. In some aspects, a method may include determining an orientation and an initial portion of a physical plane in the scene, and subdividing a rectified image for the scene into a plurality of grid cells. For the grid cells, an image signature may be generated. A grid cell contiguous to the obtained initial portion of the plane is determined to include part of the plane. An iterative process may be performed for each neighboring grid cell from the grid cell contiguous to at least part of the obtained initial portion, determining whether the neighboring grid cell is to be included as part of the plane if the image signature of said neighboring grid cell is similar to the image signature of a grid cell already determined to be included as part of the plane.

Expanding a digital representation of a physical plane

A mobile platform renders different augmented reality objects based on the spatial relationship, such as the proximity and/or relative positions between real-world objects. The mobile platform detects and tracks a first object and a second object in one or more captured images. The mobile platform determines the spatial relationship of the objects, e.g., the proximity or distance between objects and/or the relative positions between objects. The proximity may be based on whether the objects appear in the same image or the distance between the objects. Based on the spatial relationship of the objects, the augmentation object to be rendered is determined, e.g., by searching a database. The selected augmentation object is rendered and displayed.

Context aware augmentation interactions

Growing community of inventors

San Diego, CA, United States of America

Roy Lawrence Ashok Inigo