Hover, Inc.

Alrik Firl

William Castillo

Giridhar Murali

Brandon Scott

Dario Rethage

David Royston Cutts

Domenico Curro

Panfeng Li

Jonathan Mark Igner

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

Alrik Firl