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    Systems and Methods for Hybrid Depth Regularization
    22.
    发明申请
    Systems and Methods for Hybrid Depth Regularization 有权

    公开(公告)号：US20210042952A1

    公开(公告)日：2021-02-11

    申请号：US17078732

    申请日：2020-10-23

    Applicant: FotoNation Limited

    Inventor： Ankit Jain ,  Priyam Chatterjee ,  Kartik Venkataraman

    IPC: G06T7/593 ,  G06T7/44 ,  G06T7/13 ,  G06T7/11 ,  G06T7/194 ,  G06T5/30 ,  G06T7/136 ,  G06T5/50

    Abstract: Systems and methods for hybrid depth regularization in accordance with various embodiments of the invention are disclosed. In one embodiment of the invention, a depth sensing system comprises a plurality of cameras; a processor; and a memory containing an image processing application. The image processing application may direct the processor to obtain image data for a plurality of images from multiple viewpoints, the image data comprising a reference image and at least one alternate view image; generate a raw depth map using a first depth estimation process, and a confidence map; and generate a regularized depth map. The regularized depth map may be generated by computing a secondary depth map using a second different depth estimation process; and computing a composite depth map by selecting depth estimates from the raw depth map and the secondary depth map based on the confidence map.

    Systems and methods for estimating depth from projected texture using camera arrays
    23.
    发明授权
    Systems and methods for estimating depth from projected texture using camera arrays 有权

    公开(公告)号：US10767981B2

    公开(公告)日：2020-09-08

    申请号：US16177191

    申请日：2018-10-31

    Applicant: FotoNation Limited

    Inventor： Kartik Venkataraman ,  Jacques Duparré

    IPC: G01B11/22 ,  G01B11/25 ,  G06T7/521 ,  G06T7/593 ,  G06T7/557 ,  G06T7/40

    Abstract: Systems and methods in accordance with embodiments of the invention estimate depth from projected texture using camera arrays. One embodiment of the invention includes: at least one two-dimensional array of cameras comprising a plurality of cameras; an illumination system configured to illuminate a scene with a projected texture; a processor; and memory containing an image processing pipeline application and an illumination system controller application. In addition, the illumination system controller application directs the processor to control the illumination system to illuminate a scene with a projected texture. Furthermore, the image processing pipeline application directs the processor to: utilize the illumination system controller application to control the illumination system to illuminate a scene with a projected texture capture a set of images of the scene illuminated with the projected texture; determining depth estimates for pixel locations in an image from a reference viewpoint using at least a subset of the set of images. Also, generating a depth estimate for a given pixel location in the image from the reference viewpoint includes: identifying pixels in the at least a subset of the set of images that correspond to the given pixel location in the image from the reference viewpoint based upon expected disparity at a plurality of depths along a plurality of epipolar lines aligned at different angles; comparing the similarity of the corresponding pixels identified at each of the plurality of depths; and selecting the depth from the plurality of depths at which the identified corresponding pixels have the highest degree of similarity as a depth estimate for the given pixel location in the image from the reference viewpoint.

    Systems and Methods for Hybrid Depth Regularization
    25.
    发明申请
    Systems and Methods for Hybrid Depth Regularization 审中-公开

    公开(公告)号：US20200151894A1

    公开(公告)日：2020-05-14

    申请号：US16685881

    申请日：2019-11-15

    Applicant: FotoNation Limited

    Inventor： Ankit Jain ,  Priyam Chatterjee ,  Kartik Venkataraman

    IPC: G06T7/593 ,  G06T5/50 ,  G06T7/136 ,  G06T5/30 ,  G06T7/194 ,  G06T7/11 ,  G06T7/13 ,  G06T7/44

    Abstract: Systems and methods for hybrid depth regularization in accordance with various embodiments of the invention are disclosed. In one embodiment of the invention, a depth sensing system comprises a plurality of cameras; a processor; and a memory containing an image processing application. The image processing application may direct the processor to obtain image data for a plurality of images from multiple viewpoints, the image data comprising a reference image and at least one alternate view image; generate a raw depth map using a first depth estimation process, and a confidence map; and generate a regularized depth map. The regularized depth map may be generated by computing a secondary depth map using a second different depth estimation process; and computing a composite depth map by selecting depth estimates from the raw depth map and the secondary depth map based on the confidence map.

    Systems and methods for hybrid depth regularization
    27.
    发明授权
    Systems and methods for hybrid depth regularization 有权

    公开(公告)号：US10482618B2

    公开(公告)日：2019-11-19

    申请号：US15682295

    申请日：2017-08-21

    Applicant: FotoNation Limited

    Inventor： Ankit Jain ,  Priyam Chatterjee ,  Kartik Venkataraman

    IPC: G06T7/593 ,  G06T7/44 ,  G06T7/13 ,  G06T7/11 ,  G06T7/194 ,  G06T5/30 ,  G06T5/50 ,  G06T7/136

    Abstract: Systems and methods for hybrid depth regularization in accordance with various embodiments of the invention are disclosed. In one embodiment of the invention, a depth sensing system comprises a plurality of cameras; a processor; and a memory containing an image processing application. The image processing application may direct the processor to obtain image data for a plurality of images from multiple viewpoints, the image data comprising a reference image and at least one alternate view image; generate a raw depth map using a first depth estimation process, and a confidence map; and generate a regularized depth map. The regularized depth map may be generated by computing a secondary depth map using a second different depth estimation process; and computing a composite depth map by selecting depth estimates from the raw depth map and the secondary depth map based on the confidence map.

    Systems and method for performing depth based image editing
    28.
    发明授权
    Systems and method for performing depth based image editing 有权

    公开(公告)号：US10311649B2

    公开(公告)日：2019-06-04

    申请号：US15694700

    申请日：2017-09-01

    Applicant: FotoNation Limited

    Inventor： Andrew Kenneth John McMahon ,  Kartik Venkataraman ,  Robert Mullis

    IPC: G06T19/20 ,  G06F3/041 ,  G06F3/01 ,  G06F3/0488 ,  G06T19/00

    Abstract: Systems and methods for the manipulation of captured light fields and captured light field image data in accordance with embodiments of the invention are disclosed. In one embodiment of the invention, a system for manipulating captured light field image data includes a processor, a display, a user input device, and a memory, wherein a depth map includes depth information for one or more pixels in the image data, and wherein an image manipulation application configures the processor to display a first synthesized image, receive user input data identifying a region within the first synthesized image, determine boundary data for the identified region using the depth map, receive user input data identifying at least one action, and perform the received action using the boundary data and the captured light field image data.

    Extended color processing on pelican array cameras
    29.
    发明授权
    Extended color processing on pelican array cameras 有权

    公开(公告)号：US10182216B2

    公开(公告)日：2019-01-15

    申请号：US15287626

    申请日：2016-10-06

    Applicant: FotoNation Limited

    Inventor： Robert H. Mullis ,  Dan Lelescu ,  Kartik Venkataraman

    IPC: H04N9/093 ,  H04N5/265 ,  H04N5/33 ,  H04N9/09

    Abstract: Systems and methods for extended color processing on Pelican array cameras in accordance with embodiments of the invention are disclosed. In one embodiment, a method of generating a high resolution image includes obtaining input images, where a first set of images includes information in a first band of visible wavelengths and a second set of images includes information in a second band of visible wavelengths and non-visible wavelengths, determining an initial estimate by combining the first set of images into a first fused image, combining the second set of images into a second fused image, spatially registering the fused images, denoising the fused images using bilateral filters, normalizing the second fused image in the photometric reference space of the first fused image, combining the fused images, determining a high resolution image that when mapped through a forward imaging transformation matches the input images within at least one predetermined criterion.

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