This is why Bentley’s mobile app uses a new ContextCapture cloud service for processing.īut the cloud processing isn’t limited to mobile users. ContextCapture CloudĪs you know, a mobile device doesn’t have the computing power to handle complex photogrammetric reconstruction. The developers have also added a workflow for increasing the accuracy of the model scaling, or even scaling indoors where GPS reception is unavailable. Valois tells me Bentley has since added a function that uses the phone GPS to scale the model to the proper size. In a minute or two you receive an email with a link to a detailed reality mesh that you can download, share, or store online for later access. I tested the app in a pre-release version at Bentley’s Year in Infrastructure 2016 Conference, and it makes the documentation of as-built conditions very simple: Point a mobile device at an object, and snap a bunch of photos from different positions. If you want to capture smaller objects, you’ll be interested in Bentley’s new ContextCapture mobile photogrammetry app. Image courtesy of Bentley Systems ContextCapture Mobile You simply tell the software what you want to model, and it proposes a set of optimal camera positions for getting the best results.Īn image of an accurate 3D engineering-ready reality mesh using the ContextCapture mobile application. To make this easier for UAV and ground photogrammetry, Bentley is releasing the ContextCapture photo planning application. Since photogrammetry solutions like ContextCapture make processing easy, one of the only remaining challenges is capturing the photos properly to ensure a high-quality result. Combining the two, you get a hybrid 3D reality mesh that is very easy to consume and use for different engineering purposes.” ContextCapture Photo Planning “We’re able to increase the accuracy of the photos based on the point clouds,” Valois says, “but there are also places where the photo might be a better fit, depending on the constraints. This file format gives you the best of both photogrammetry and lidar in one place. For example, if you want to capture the existing conditions of a train station, you could use aerial lidar for the wider context, drone photography for high-quality color visuals of the structures, and a combination of photos and indoor lidar to capture the indoor conditions.Īfter capturing, you can process your data sets with ContextCapture and it combines them into a single 3D reality mesh. Valois explains that users can now capture data with a wide variety of devices, each suited for a different purpose. Image courtesy of Bentley Systems and City of Strasbourg An example of ContextCapture photo planning leveraging existing 3D map data for the aerial data acquisition mission.
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