Hover, Inc.

Domenico Curro

Siu Fai Chow

Panfeng Li

William Castillo

Giridhar Murali

Brandon Scott

Jeffrey Sommers

Dario Rethage

Kai Jia

David Royston Cutts

Atulya Shree

Yevheniia Dzitsiuk

Harsh Barbhaiya

Zhiyao Xiong

Raymond Phan

Alrik Firl

Jonathan Mark Igner

Images subject to panoramic image stitching are analyzed for suitability in three dimensional construction. Effects of translation changes between cameras are mitigated. The dioptric relationship of subject content of the images to the camera set identifies camera translation changes, and eligible camera position inputs, permissible to avoid parallax errors. Images within permissible ranges of each other are stitched to create panoramic images of subject content that a camera cannot fully capture with a single image. Registration plane selection based on translation distances between cameras, and permissible translation changes based on detected subject content depth are disclosed.

Systems and methods for image capture

Techniques are described for identifying correspondences between images to generate a fundamental matrix for the camera positions related to the images. The resultant fundamental matrix enables epipolar geometry to correlate common features among the images. Correspondences are identified by confirming feature matches across images by applying a homography to data representing features across images. Further techniques are described herein for generating a representation of a boundary of a feature of a structure based on a digital image. In one or more embodiments, generating a representation of a boundary of a particular feature in a digital image comprises determining a portion of the image that corresponds to the structure, and determining a portion of the image that corresponds to the particular feature. One more vanishing points are associated with the portion of the image corresponding to the particular feature. The one or more vanishing points are used to generate a set of bounding lines for the particular feature, based on which the boundary indicator for the feature is generated.

Systems and methods for estimating feature locations based on image analysis and homography

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.

Techniques for enhanced image capture using a computer-vision network

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San Francisco, CA, United States of America

Domenico Curro