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Image extraction and image-based rendering of manifolds for terrestrial, aerial and/or crowdsourced visualizations

An image and map technology, applied in 3D image processing, image data processing, editing/combining graphics or text, etc., can solve complex, unintuitive and excessive problems.

Active Publication Date: 2018-07-31
MICROSOFT TECH LICENSING LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Unfortunately, since the set of images depicts the scene from various perspectives, navigating the visualization can be unintuitive and / or overly complex

Method used

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  • Image extraction and image-based rendering of manifolds for terrestrial, aerial and/or crowdsourced visualizations
  • Image extraction and image-based rendering of manifolds for terrestrial, aerial and/or crowdsourced visualizations
  • Image extraction and image-based rendering of manifolds for terrestrial, aerial and/or crowdsourced visualizations

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Embodiment Construction

[0016] The disclosed architecture extracts (analyzes, selects, and / or reformats) a set of images from a repository or source of images in order to create one-dimensional (1D) and two-dimensional (2D) image manifolds (or groups of images—also called "composite" groups). Each manifold is a "visualization template" used to arrange and prepare images for a given visualization experience. The image repository includes, for example, aerial and land views (from points on or near the earth's surface) of locations, scenes, and objects in the scene. The resulting composite grouping provides an interactive view navigation experience to a location or scene via the grouped images. The world consists of multi-dimensional manifolds, each connected locally in 1D or 2D, and where 1D or 2D can be patched together to cover the real 7D world in the 3D view space of the location.

[0017] The following is a general description of the composite grouping. Composition groups are units (groups of i...

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Abstract

An architecture for extracting (analyzing and selecting) a set of images from a warehouse or source imagery to create one-dimensional (1D) and two-dimensional (2D) image manifolds (or image groupings—also known as "composite" groupings). A repository of map imagery can include aerial views and land views (from points on the Earth's surface). The manifold facilitates smooth transitions between images of the convenience manifold, thereby providing a smooth user-interactive navigation experience for viewing locations.

Description

Background technique [0001] Users are now provided with the ability to create image data using a wide variety of devices, such as digital cameras, tablets, mobile devices, and smartphones, to name a few. In one example, a user may use a mobile phone to capture a set of images depicting a beach. Users can then organize this set of images into albums, cloud-based photo-sharing streams, visualizations, and more. In an example of visualization, the set of images may be stitched together to create a panorama of the scene depicted by the set of images. Another example of visualization could be to use images to create different visual movements or enhancements. Unfortunately, since the set of images depicts the scene from various perspectives, navigating the visualization can be unintuitive and / or overly complex. Contents of the invention [0002] The following presents a simplified summary to provide a basic understanding of some of the novel embodiments described herein. This...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T13/80G06T15/20G06T17/00
CPCG06T13/80G06T15/205G06T17/005G06T2200/08G06T11/60
Inventor B.H.阿盖拉-阿卡斯
Owner MICROSOFT TECH LICENSING LLC