Abstract: Among other things, one or more techniques and/or systems are disclosed for positioning point-of-interest (POI) data in a planar panorama image, generated from a plurality of relatively sequential images. First POI data with a first geo-location and second POI data with a second geo-location can be received for the planar panorama image, and first and second data tags can be created that respectively comprise at least some of the first and second POI data. A cluster geo-location may be identified for the first and second data tags based at least upon the first and second geo-locations, and the first and second data tags can be clustered at the cluster geo-location in the planar panorama image. The first and second data tags can be re-clustered (e.g., moved around) and displayed at different locations within the planar panorama image in response to a zoom operation, for example.

Abstract: Among other things, one or more techniques and/or systems are disclosed for positioning point-of-interest (POI) data in a planar panorama image, generated from a plurality of relatively sequential images. First POI data with a first geo-location and second POI data with a second geo-location can be received for the planar panorama image, and first and second data tags can be created that respectively comprise at least some of the first and second POI data. A cluster geo-location may be identified for the first and second data tags based at least upon the first and second geo-locations, and the first and second data tags can be clustered at the cluster geo-location in the planar panorama image. The first and second data tags can be re-clustered (e.g., moved around) and displayed at different locations within the planar panorama image in response to a zoom operation, for example.

Abstract: Among other things, one or more techniques and/or systems are disclosed for creating a three-dimensional model of an image. Image data, comprise a series of images of a location, such as along a route, can be received. The image data can comprise a first image element location for a first image element, where the first image element location may correspond to a three-dimensional point in the image, such as a location in the image with a depth from a point of observation. The first image element can be segmented into a first façade plane using the first image element location. The first façade plane can be merged with a second façade plane, resulting in a three-dimensional model of the image. The second façade plane can comprise a second image element, where the image data comprises a second image element location for the second image element.

Abstract: Among other things, one or more techniques and/or systems are disclosed for creating a three-dimensional model of an image. Image data, comprise a series of images of a location, such as along a route, can be received. The image data can comprise a first image element location for a first image element, where the first image element location may correspond to a three-dimensional point in the image, such as a location in the image with a depth from a point of observation. The first image element can be segmented into a first façade plane using the first image element location. The first façade plane can be merged with a second façade plane, resulting in a three-dimensional model of the image. The second façade plane can comprise a second image element, where the image data comprises a second image element location for the second image element.

Abstract: Among other things, one or more techniques and/or systems are disclosed for positioning point-of-interest (POI) data in a planar panorama image, generated from a plurality of relatively sequential images. First POI data with a first geo-location and second POI data with a second geo-location can be received for the planar panorama image, and first and second data tags can be created that respectively comprise at least some of the first and second POI data. A cluster geo-location may be identified for the first and second data tags based at least upon the first and second geo-locations, and the first and second data tags can be clustered at the cluster geo-location in the planar panorama image. The first and second data tags can be re-clustered (e.g., moved around) and displayed at different locations within the planar panorama image in response to a zoom operation, for example.