Daniel T Knoblauch, Age 67San Diego, CA

2013033, Dec 19, 2013

Jun 14, 2012

13/523634

Arvind Ramanandan - San Diego CA, US
Christopher Brunner - San Diego CA, US
Mahesh Ramachandran - San Diego CA, US
Abhishek Tyagi - San Diego CA, US
Daniel Knoblauch - San Diego CA, US
Murali Ramaswamy Chari - San Diego CA, US

QUALCOMM Incorporated - San Diego CA

G06K 9/00
H04N 7/18

348142, 382103, 348E07085

A mobile device tracks a relative pose between a camera and a target using Vision aided Inertial Navigation System (VINS), that includes a contribution from inertial sensor measurements and a contribution from vision based measurements. When the mobile device detects movement of the target, the contribution from the inertial sensor measurements to track the relative pose between the camera and the target is reduced or eliminated. Movement of the target may be detected by comparing vision only measurements from captured images and inertia based measurements to determine if a discrepancy exists indicating that the target has moved. Additionally or alternatively, movement of the target may be detected using projections of feature vectors extracted from captured images.

2015029, Oct 15, 2015

Jun 3, 2015

14/730146

- San Diego CA, US
Alessandro Mulloni - Vienna, AT
Gerhard Reitmayr - Vienna, AT
Daniel Knoblauch - San Diego CA, US

G06T 17/00
H04N 13/02

Embodiments disclosed facilitate resource utilization efficiencies in Mobile Stations (MS) during 3D reconstruction. In some embodiments, camera pose information for a first color image captured by a camera on an MS may be obtained and a determination may be made whether to extend or update a first 3-Dimensional (3D) model of an environment being modeled by the MS based, in part, on the first color image and associated camera pose information. The depth sensor, which provides depth information for images captured by the camera, may be disabled, when the first 3D model is not extended or updated.

2014036, Dec 11, 2014

Jun 11, 2014

14/302056

- San Diego CA, US
Daniel Knoblauch - San Diego CA, US
Raghuraman Krishnamoorthi - San Diego CA, US
Serafin Diaz Spindola - San Diego CA, US

G06K 9/78
G06K 9/62

382103

Systems, methods, and devices are described for capturing compact representations of three-dimensional objects suitable for offline object detection, and storing the compact representations as object representation in a database. One embodiment may include capturing frames of a scene, identifying points of interest from different key frames of the scene, using the points of interest to create associated three-dimensional key points, and storing key points associated with the object as an object representation in an object detection database.