Hewlett-packard Development Company, L.p.

Hewlett-packard Company

David Bradley Short

Jinman Kang

Otto Kenneth Sievert

Daniel R Tretter

Ben Wynne

Kar-Han Tan

Yun David Tang

Jordi Morillo Peres

Robert L Mueller

Amit A Marathe

Kar Han Tan

Geoffrey C Mayne

Kurt Eugene Spears

Christopher Sean Tanner

Wei Hong

Jamie Lynn Etcheson

David W Leong

Santiago Garcia-Reyero Vinas

Daniel Jordan Kayser

Ruth Ann Lim

Matthew Leck

Stephen George Miller

Ryan Lane Wilday

Eddie Licitra

Kenneth Kay Smith

Steve Orrin Rasmussen

Dimitre D Mehandjiysky

Michael J Delpier

Bradley Neal Suggs

Scott R Gant

Dustin L Hoffman

Benoit Collette

Daniel Scott Weinstein

David Lovelace

Vijaykumar Nayak

Michael S Gray

Steven Wayne Hendrix

Roya Susan Akhavain

Immanuel Amo

Josh Maruska

Robert D Blanton

Raymond Kuo-Sheng Lee

Gary W Gragg

Xiangfei Qian

Hao Meng

Hamadi Jamali

Patricia Panqueva

Louis Ju-man Kim

Jeff Borra

Tad Toulis

Eric Monsef

Dan Riedler

Louis Ju-Man Kim

An example system includes a pose engine to determine a pose of a camera based on an environmental measurement. The system also includes a transform engine to determine a transform to apply to frames captured by the camera based on the pose of the camera. The system includes a correction engine to apply the transform to the frames captured by the camera in substantially real-time with capturing of the frames.

Substantially real-time correction of perspective distortion

A system includes an image capturing device, a user input device, and a processor coupled to the image capturing device and user input device. The processor includes instructions for capturing a data image with the image capturing device. The data image includes a signal from the user input device. The processor further includes instructions for deactivating the signal from the user input device and, after deactivating the signal from the user input device, capturing an ambient image. The processor further includes instructions for subtracting the ambient image from the data image and determining a position of the user input device in a three-dimensional space using a result of the subtracting.

Determining the location of a user input device

A stylus having an applied force-sensitive tip-switch is disclosed. The stylus includes a tip-switch responsive to a variable applied force. Control circuitry determines whether the tip-switch has made contact with an object and, if so, the magnitude of the applied force resulting from the contact. The circuitry then encodes a signal that varies with the magnitude of the applied force and transmits the encoded signal to a computing device, enabling the computing device to indicate the two- or three-dimensional path of the tip-switch in the stylus on a computer screen. The circuitry also monitors a manual override switch that activates an encoded override signal for interpretation and use by the computing device while indicating the path of the tip switch on a computer screen.

Tip-switch and manual switch to override the tip-switch for a stylus

A method and corresponding system for reconstructing the surface geometry of a three-dimensional object is disclosed. The system comprises a cluster of heterogeneous sensors, including a two-dimensional high-resolution camera and a three-dimensional depth camera, and a turntable operable to rotate incrementally. In operation, the turntable is rotated to first and second positions and two-dimensional and three-dimensional data sets are obtained using the two-dimensional high-resolution camera and the three-dimensional depth camera. Corresponding features from the two-dimensional data sets are identified and used to identify the same corresponding features in the three-dimensional data sets. The three-dimensional corresponding features are used to calculate a three-dimensional homography, which is used to align the three-dimensional data sets. Following alignment, a three-dimensional mesh is generated from the aligned data sets.

Three dimensional scanning system and framework

A projection system includes a video projector to project images having an image region on a surface having a border area associated with the surface, and a processing system including a graphical processing unit to evaluate the border area and the projected image region, the graphical processing unit to transform the projected image region into an aligned projected image region coinciding with the border area.

Projection alignment

Examples relate to improving unintended touch rejection. The examples disclosed herein enable selecting, from a plurality of available modes of unintended touch rejection, a first mode of unintended touch rejection, capturing a first set of data associated with the first mode responsive to a touch being recognized at a touch-enabled surface of the system, and determining whether the recognized touch was intended based on the first set of data and a first set of criteria associated with the first mode of unintended touch rejection.

Unintended touch rejection

Examples relate to a turntable peripheral for three dimensional (3D) scanning. In some examples, 3D scan data of a real-world object is obtained while the object is rotated by the turntable peripheral. Positioning commands are sent to the turntable peripheral to rotate the object. The 3D scan data is collected while the turntable peripheral is in an untilted and/or tilted position.

Turntable peripheral for 3D scanning

An example method is provided for presentation of a digital image of an object. The method comprises aligning a plurality of sensors with a projector unit, receiving, from a sensor of the plurality of sensors, an image of an object on a surface, detecting features of the object, and presenting the image on the surface based on the features of the object. The features include location and dimensions, wherein dimensions of the image match the dimensions of the object and location of the image overlap with the location of the object on the surface.

Presentation of a digital image of an object

Examples disclosed herein relate to detecting misalignment of a touch sensitive mat. Examples include detecting corners of the touch sensitive mat, determining a set of reference corners, performing a comparison of the detected corners of the mat with the set of reference corners, and determining a level of misalignment based on the comparison.

Misalignment detection

A method includes receiving data representing an image captured of an object disposed on a surface in the presence of illumination by a flash light. The technique includes processing the data to identify an object type associated with the object and further processing the data based at least in part on the identified object type.

Processing data representing images of objects to classify the objects

Examples disclosed herein relate to projecting onto a touch-sensitive surface a projection image having projected regions corresponding to target and non-target touch regions. Examples include a computing system having a touch-sensitive surface, and a camera to capture an image representing an object disposed between the camera and the touch-sensitive surface. The computing system may also include a detection engine to identify, based at least on the object represented in the image, at least one touch region of the touch-sensitive surface, and to generate a projection image including a projected region corresponding to the touch region, and a projector to project the projection image onto the touch-sensitive surface.

Touch region projection onto touch-sensitive surface

Examples relate to capturing and processing three dimensional (3D) scan data. In some examples, 3D scan data of a real-world object is obtained while the real-world object is repositioned in a number of orientations, where the 3D scan data includes 3D scan passes that are each associated with one of the orientations. A projector is used to project a visual cue related to a position of the real-world object as the real-world object is repositioned at each of the orientations. The 3D scan passes are stitched to generate a 3D model of the real-world object, where a real-time representation of the 3D model is shown on a display as each of the 3D scan passes is incorporated into the 3D model.

Generating three dimensional models

An example system, including a camera to identify a projection area based on at least one criteria, and a projector unit attachable to the camera and to project an image to the projection area. A computing unit provides the image to the projector unit and sets the projector unit to project on the projection area, and the computing unit receives input through the camera and updates the image based on the input.

Image projections

An example system, including a projector unit, an all-in-one computer attachable to the projector unit, a camera communicatively coupled to the all-in-one computer, and a touch sensitive mat communicatively coupled to the all-in-one computer. The projector unit projects an image on to the touch sensitive mat, and the touch sensitive mat comprises an optical pattern used to track a handheld device interacting with the image.

Tracking a handheld device on surfaces with optical patterns

Examples disclosed herein describe, among other things, a computing system. The computing system may in some examples include a touch-sensitive surface, a display, and at least one camera to capture an image representing an object disposed between the camera and the touch-sensitive surface. The computing system may also include a detection engine to determine, based at least on the image, display coordinates, where the display coordinates may correspond to the object's projection onto the touch-sensitive surface, and the display is not parallel to the touch-sensitive surface. In some examples, the detection engine is also to display an object indicator at the determined display coordinates on the display.

Displaying an object indicator

Growing community of inventors

San Diego, CA, United States of America

David Bradley Short