Brain Corporation

Gopro, Inc.

Other

Qualcomm Technologies, Inc.

Ysi, Inc.

Vadim Polonichko

Eugene Izhikevich

Jean-Baptiste Passot

David A Newman

Oleg Sinyavskiy

Botond Szatmary

Nicholas Ryan Gilmour

Marius Buibas

Patryk Laurent

Dimitry Fisher

Clark Weber

Balineedu Chowdary Adsumilli

Adeel Abbas

Heathcliff Hatcher

Filip Lukasz Piekniewski

Micah Richert

Csaba Petre

Mark Vaden

Jessica Bonner

Tyler Gee

Rolf Fischer

Fong Tran

Ian Klassen

Jeffrey Alexander Levin

Daryl Stimm

Borja Ibarz Gabardos

Bruno César Douady

Filip Ponulak

Andrew Tombras Smith

Olivier Coenen

Ramon Cabrera

Abraham Kislevitz

John Sloat

Matthew J Hull

Mark Wildie

Arthur R Schmidt

Bruce Friedman

Todd Hylton

A video having a wide field of view (e.g., spherical field of view) may be presented within a graphical user interface. The graphical user interface may include multiple punchouts of the wide field of view, with the number of punchouts set based on user interaction with a punchout-number element of the graphical user interface. Individual punchouts may be used as output of a virtual camera to provide views of differential spatial parts of the video. Presentation of different spatial parts of the video within different punchouts may be automatically synchronized based on the different spatial parts originating from a single video.

Systems and methods for presenting wide videos

Features to be enabled for an image capture device may be determined based on user subscription to a feature plan and/or user usage of the image capture device. The features for the image capture device may be enabled through firmware update or code unlock.

User-linked features for image capture device

Encoded content is accessed. The encoded content includes an encoded first centrally located tile corresponding to a first centrally located tile of a first image, an encoded first peripherally located tile of the first image, and an encoded second peripherally located tile of a second image. The encoded first peripherally located tile is decoded to obtain a decoded first peripherally located tile. The encoded second peripherally located tile is decoded to obtain a decoded second peripherally located tile. The decoded first peripherally located tile and the decoded second peripherally located tile are stitched to obtain a stitched image portion. The stitched image portion is encoded to obtain an encoded stitched image portion. An encoded stitched image of the first image and the second image is obtained by combining the encoded first centrally located tile, and the encoded stitched image portion.

Systems and methods for spatially selective video coding

An image capture device may automatically capture images. An image sensor may generate visual content based on light that becomes incident thereon. A depiction of interest within the visual content may be identified, and one or more images may be generated to include one or more portions of the visual content including the depiction of interest.

Image capture device with an automatic image capture capability

A method for encoding images includes decoding a first encoded image to obtain a first decoded image, where the first decoded image includes a first decoded portion corresponding to a first encoded portion of the first encoded image and a second decoded portion corresponding to a second encoded portion of the first encoded image; decoding a second encoded image to obtain a second decoded image; combining the first decoded image and the second decoded image to obtain a single decoded image; and encoding the single decoded image to obtain a single encoded image that includes a third and a fourth encoded portions. Encoding the single decoded image includes obtaining the third encoded portion of the single encoded image by copying the first encoded portion of the first encoded image; and obtaining the fourth encoded portion of the single encoded image by encoding the second decoded portion using an encoder.

Apparatus and methods for training and operating of robotic appliances. Robotic appliance may be operable to clean user premises. The user may train the appliance to perform cleaning operations in constrained areas. The appliance may be configured to clean other area of the premises automatically. The appliance may perform premises exploration and/or determine map of the premises. The appliance may be provided priority information associated with areas of the premises. The appliance may perform cleaning operations in order of the priority. Robotic vacuum cleaner appliance may be configured for safe cable operation wherein the controller may determine one or more potential obstructions (e.g., a cable) along operating trajectory. Upon approaching the cable, the controller may temporarily disable brushing mechanism in order to prevent cable damage.

Apparatus and methods for programming and training of robotic household appliances

An image capture device may capture visual content during a visual capture duration and audio content during an audio capture duration. The audio capture duration may be shorter than the visual capture duration. The captured audio content may provide audio for playback of the captured visual content.

Generating videos with short audio

Systems and methods for providing panoramic image and/or video content using spatially selective encoding and/or decoding. Panoramic content may include stitched spherical (360-degree) images and/or VR video. In some implementations, selective encoding functionality may be embodied in a spherical image capture device that may include two lenses configured to capture pairs of hemispherical images. Encoded source images may be decoded and stitched in order to obtain a combined image characterized by a greater field of view as compared to source images. The stitched image may be encoded using a selective encoding methodology including: partitioning a stitched image into multiple portions, determining if a portion is to be re-encoded. If the image portion is to be re-encoded, re-encoding the image portion. If an image portion is not to be re-encoded, copying previously encoded image portion in lieu of encoding.

Data streams from multiple image sensors may be combined in order to form, for example, an interleaved video stream, which can be used to determine distance to an object. The video stream may be encoded using a motion estimation encoder. Output of the video encoder may be processed (e.g., parsed) in order to extract motion information present in the encoded video. The motion information may be utilized in order to determine a depth of visual scene, such as by using binocular disparity between two or more images by an adaptive controller in order to detect one or more objects salient to a given task. In one variant, depth information is utilized during control and operation of mobile robotic devices.

Apparatus and methods for distance estimation using multiple image sensors

An optical object detection apparatus and associated methods. The apparatus may comprise a lens (e.g., fixed-focal length wide aperture lens) and an image sensor. The fixed focal length of the lens may correspond to a depth of field area in front of the lens. When an object enters the depth of field area (e.g., sue to a relative motion between the object and the lens) the object representation on the image sensor plane may be in-focus. Objects outside the depth of field area may be out of focus. In-focus representations of objects may be characterized by a greater contrast parameter compared to out of focus representations. One or more images provided by the detection apparatus may be analyzed in order to determine useful information (e.g., an image contrast parameter) of a given image. Based on the image contrast meeting one or more criteria, a detection indication may be produced.

Optical detection apparatus and methods

Systems and methods are disclosed for generating long exposure images for high dynamic range processing. For example, methods may include receiving a short exposure image that was captured using an image sensor; receiving an additional image that was captured using the image sensor; determining a long exposure image based on the short exposure image and the additional image; applying high dynamic range processing to the short exposure image and the long exposure image to obtain an output image with a larger dynamic range than the short exposure image; and transmitting, storing, or displaying an image based on the output image.

Generating long exposure images for high dynamic range processing

Growing community of inventors

San Diego, CA, United States of America

Vadim Polonichko