公开(公告)号：WO2022165082A1

公开(公告)日：2022-08-04

申请号：PCT/US2022/014164

申请日：2022-01-27

Applicant: HOVER INC.

Inventor： SHREE, Atulya ,  MURALI, Giridhar ,  SOMMERS, Jeffrey ,  GOULD, Kerry ,  CASTILLO, William ,  SCOTT, Brandon ,  FIRL, Alrik ,  CUTTS, David Royston ,  IGNER, Jonathan Mark ,  RETHAGE, Dario ,  CURRO, Domenico

IPC: G06T7/579 ,  G06T7/20

Abstract: An image set is refined by selection criteria among captured images, such that images within the set must satisfy criteria such as feature matching among a plurality of frames or positional changes between frame pairs or sufficient overlap of reprojected points of one image into another image such that the reprojected points or features are observed in the frustum or coordinate space of the another image.

公开(公告)号：WO2021155246A

公开(公告)日：2021-08-05

申请号：PCT/US2021/015850

申请日：2021-01-29

Applicant: HOVER INC. [US]/[US]

Inventor： CASTILLO, William ,  SCOTT, Brandon ,  FIRL, Alrik ,  CUTTS, David, Royston ,  IGNER, Jonathan, Mark ,  CURRO, Domenico ,  RETHAGE, Dario ,  LI, Panfeng

IPC: H04N5/232 ,  G06F3/167 ,  G06T17/00 ,  G06T2207/20072 ,  G06T2207/20084 ,  G06T7/11 ,  G06T7/12 ,  G06T7/174 ,  G06T7/74 ,  H04N5/23218 ,  H04N5/23222 ,  H04N5/232945

Abstract: Disclosed are techniques for enhancing two-dimensional (2D) image capture of subjects (e.g., a physical structure, such as a residential building) to maximize the feature correspondences available for three-dimensional (3D) model reconstruction. More specifically, disclosed is a computer-vision network configured to provide viewfinder interfaces and analyses to guide the improved capture of an intended subject for specified purposes. Additionally, the computer-vision network can be configured to generate a metric representing a quality of feature correspondences between images of a complete set of images used for reconstructing a 3D model of a physical structure. The computer-vision network can also be configured to generate feedback at or before image capture time to guide improvements to the quality of feature correspondences between a pair of images.

公开(公告)号：WO2021096843A1

公开(公告)日：2021-05-20

申请号：PCT/US2020/059809

申请日：2020-11-10

Applicant: HOVER INC.

Inventor： THOMAS, Matthew ,  AVILA-BELTRAN, Francisco ,  CUTTS, David Royston ,  CASTILLO, William ,  MURALI, Giridhar ,  SCOTT, Brandon ,  SOMMERS, Jeffrey

IPC: G06T17/00 ,  G06T19/00

Abstract: Disclosed are techniques for generating a photorealistic image by augmenting or compositing at least a portion of a physical structure (e.g., a house) depicted in a two-dimensional (2D) image with synthetic image data. Additionally, disclosed are techniques for augmenting the depicted physical structure using a minimum amount of three-dimensional (3D) geometric data and applying a scene effect to the synthetic image data to create a photorealistic effect.

公开(公告)号：WO2021155246A1

公开(公告)日：2021-08-05

申请号：PCT/US2021/015850

申请日：2021-01-29

Applicant: HOVER INC.

Inventor： CASTILLO, William ,  SCOTT, Brandon ,  FIRL, Alrik ,  CUTTS, David Royston ,  IGNER, Jonathan Mark ,  CURRO, Domenico ,  RETHAGE, Dario ,  LI, Panfeng

IPC: H04N5/232 ,  G06F3/167 ,  G06T15/00 ,  G06T17/00 ,  G06T2207/20072 ,  G06T2207/20084 ,  G06T2210/00 ,  G06T7/11 ,  G06T7/12 ,  G06T7/174 ,  G06T7/277 ,  G06T7/74 ,  G06V10/26 ,  G06V10/44 ,  G06V30/19013 ,  G06V30/19107 ,  G06V30/414 ,  H04N5/23218 ,  H04N5/23222 ,  H04N5/232945

Abstract: Disclosed are techniques for enhancing two-dimensional (2D) image capture of subjects (e.g., a physical structure, such as a residential building) to maximize the feature correspondences available for three-dimensional (3D) model reconstruction. More specifically, disclosed is a computer-vision network configured to provide viewfinder interfaces and analyses to guide the improved capture of an intended subject for specified purposes. Additionally, the computer-vision network can be configured to generate a metric representing a quality of feature correspondences between images of a complete set of images used for reconstructing a 3D model of a physical structure. The computer-vision network can also be configured to generate feedback at or before image capture time to guide improvements to the quality of feature correspondences between a pair of images.