Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Combining narrow-baseline and wide-baseline stereo for three-dimensional modeling

A three-dimensional, three-dimensional technology, applied in the field of three-dimensional modeling, can solve problems such as inaccuracy, incomplete model accuracy, and inaccurate camera perspective.

Inactive Publication Date: 2015-02-11
GOOGLE LLC
View PDF2 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Models built using stereo matching may not be completely accurate
For example, inaccuracies may be introduced due to changes in the underlying image, inaccuracies in camera perspective, and limitations of stereo matching algorithms

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Combining narrow-baseline and wide-baseline stereo for three-dimensional modeling
  • Combining narrow-baseline and wide-baseline stereo for three-dimensional modeling
  • Combining narrow-baseline and wide-baseline stereo for three-dimensional modeling

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] I. Overview

[0024] II. Application of Wide Baseline Stereo

[0025] A. Candidate Surface Points

[0026] B. Visibility of Candidate Surface Points

[0027] C. Surface normals of candidate surface points

[0028] III. Reconstructing Surfaces Using a Second Volumetric Reconstruction Technique

[0029] IV. Application of Narrow Baseline Stereo

[0030] A. Volume of interest

[0031] B. Volume representation of surface possibilities

[0032] C. Surface Estimation

[0033] V. Identify the final surface

[0034] A. Signed distance function

[0035] B. Merging signed distance functions

[0036] VI. Example System

[0037] VII. Example Methods

[0038] VIII. Example Computer Embodiment

[0039] I. Overview

[0040] Embodiments include techniques for three-dimensional modeling. A three-dimensional model can be determined from multiple images of a geographic area taken from different viewpoints by one or more cameras. For example, computational stereo can be used...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

In an embodiment, a method determines a three-dimensional model from a plurality of images taken of a geographic region by one or more cameras from different perspectives. The method includes determining, using a first stereo reconstruction technique: (i) a plurality of three-dimensional candidate surface points from the plurality of images, and (ii) which of the images in the plurality of images view each of the plurality of candidate surface points. The method also includes identifying an empty space between each of the plurality of candidate surface points and each camera model for the respective images determined to view the candidate surface point. The method further includes for each of a plurality of pairs of images from the plurality of images, determining, using a second stereo reconstruction technique, a surface estimate for the pair of images. The method also includes merging the surface estimates to identify a final surface.

Description

technical field [0001] Embodiments generally relate to three-dimensional modeling. Background technique [0002] Images of geographic areas can be captured. For example, multiple satellite and aerial photography can form a view of downtown San Francisco. Photos can contain images of buildings, trees, and other objects. Data can be extracted from photographs to form images. [0003] Photos can be taken from different angles. From these photos, a three-dimensional model can be constructed using eg stereo matching. Models built using stereo matching may not be completely accurate. For example, inaccuracies may be introduced due to variations in the underlying image, inaccuracies in the camera perspective, and limitations of the stereo matching algorithm. Contents of the invention [0004] Embodiments determine a three-dimensional model from multiple digital photographic images of a geographic area taken by one or more cameras from different viewpoints. [0005] In an e...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T17/00
CPCG06T7/0077G06T17/00G06T7/596
Inventor 戴维·盖洛普阿莱克希·戈洛温斯基迈克尔·红迈·林蒂尔曼·赖因哈特
Owner GOOGLE LLC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products