Dotproduct LLC

Way Out Ip, LLC

Mark Klusza

Rafael Spring

James M Janky

A system and method for real-time or near-real time processing and post-processing of RGB-D image data using a handheld portable device including extracting gray values from the RGB-D image data, creating image pyramids from the grey values and the depth data, computing a scene fitness value using the image pyramids, predicting a camera pose and aligning the image with a first subset of selected key frames, computing a new camera pose estimate and creating a keyframe using the new camera pose estimate, after the keyframe is created, selecting a second subset of keyframes different from the first subset of keyframes and repeating the step of aligning with each keyframe of the second subset of keyframes, deciding whether new links are required to the keyframe in a keyframe pose graph and linking the keyframes.

Handheld portable optical scanner and method of using

A system and methods for real-time or near-real time processing and post-processing of RGB-D image data using a handheld portable device and using the results for a variety of applications. The disclosure is based on the combination of off-the-shelf equipment (e.g. an RGB-D camera and a smartphone/tablet computer) in a self-contained unit capable of performing complex spatial reasoning tasks using highly optimized computer vision algorithms. New applications are disclosed using the instantaneous results obtained and the wireless connectivity of the host device for remote collaboration. One method includes steps of projecting a dot pattern from a light source onto a plurality of points on a scene, measuring distances to the points, and digitally reconstructing an image or images of the scene, such as a 3D view of the scene. A plurality of images may also be stitched together to re-position an orientation of the view of the scene.

The present disclosure includes systems and computer-implemented methods for redesigning rooms in a house using digital image analysis. The analysis includes defining room parameters based on the architectural shape of the room as determined from an analysis of the walls, ceiling, windows, and doors, performing a room size calibration and defining an empty 3D room. Using the analyzed digital image, redesign can progress with selecting types of inner surfaces of the room from a pre-defined collection of architectural shapes, selecting types of furniture in the room, and selecting types of lighting. Then, a 3D model of the redesigned room is generated wherein the architectural shape is in the form of 2D and wherein the 2D image has an associated 3D image. At least one image of the redesigned 3D room may be generated and stored, and may be transmitted to a receiver wherein the corresponding showroom picture is displayed.

Growing community of inventors

Houston, TX, United States of America

Mark Klusza