Google Inc.

Guiheng Zhou

Liyong Chen

Chase Hensel

Hao Chen

David Robert Gallup

Hui Lou

Junjie Ke

Deben Kong

Wei Liu

Yi Huang

Bo Zheng

Lu Han

Shuangfeng Li

Jian Qiao

Ze Hong Zhao

Ming Bai

Yizhen Zhao

The technology relates to navigating imagery that is organized into clusters based on common patterns exhibited when imagery is captured. For example, a set of captured images which satisfy a predetermined pattern may be determined. The images in the set of set of captured images may be grouped into one or more clusters according to the predetermined pattern. A request to display a first cluster of the one or more clusters may be received and, in response, a first captured image from the requested first cluster may be selected. The selected first captured image may then be displayed.

Cluster based photo navigation

Methods, systems and computer-readable storage mediums encoded with computer programs executed by one or more processors for providing personalized mapping with photo-tours are disclosed. A mapping system provides a map of a geographic region that includes a plurality of selectable image locations within the region, with standardized images of the respective image location that accord with predefined parameters provided by the mapping system. An image location selection from the map is received and it is determined whether the selected image location is associated with one or more photo-tours of non-standardized images that do not according with the predefined parameters. A selection of a particular one of the photo-tours is received, and the set of non-standardized images corresponding to a selected photo-tour for the image location is provided.

Personalized mapping with photo tours

Information about different road networks is retrieved from different sources. Applicable rules and parameter values for constructing an integrated road network are determined for each road network. Roads are first extended at their endpoints. Intersection points among the extended roads are detected. Roads are then divided into road segments at the detected intersection points, and shorted by removing road segments extended beyond intersection points. To process a large scale of road information, extended roads are divided into road segments and distributed to reducers based on their geographic locations for the reducers to detect intersection points among the received road segments. The resulting road segments are then distributed to reducers based on the roads they belong to for the reducers to first reassemble the road segments, then divide the reassembled roads at the detected intersection points, and finally remove road segments extended beyond intersection points.

Constructing an integrated road network

Systems, methods, and computer storage mediums are provided for matching multiple photographs together. An example method includes receiving a first collection of photographic images. The photographic images in the first collection are clustered into one or more composite sets of photographic images based on a comparison of the metadata associated with each photographic image in the first collection meeting a predetermined similarity threshold. An image overlap is determined between each photographic image within each of the one or composite sets of photographic images. When the image overlap exceeds a predetermined image overlap threshold, a pair of photographic images are matched, for all of the photographic images within each composite set of photographic images to form one or more composite images.

Incremental image processing pipeline for matching multiple photos based on image overlap

Growing community of inventors

Beijing, China

Guiheng Zhou