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iTwin Capture Modeler Center 2024 Update 1 (24.1.7.4760)

cadcamaec@protonmail.com2025-06-15Point.Cloud.Modeling279
iTwinCaptureModelerCenter2024Update1(24.1.7.4760)

iTwin Capture Modeler Center 2024 Update 1 (24.1.7.4760) is the desktop application that allows you to create engineering-ready reality data—such as reality meshes, classified point clouds, anonymized images, and orthophotos of any size and resolution—using any digital camera, scanner, or mobile mapping device.

What’s New in iTwin Capture Modeler Center 2024 Update 1 (24.1.7.4760)

Added
– Tech preview: Gaussian Splatting.
. Added new production of Gaussian splats.
. Gaussian Splats can be viewed in the 3D View.
. Gaussian Splats can be edited to remove unwanted Splats.
. Measurements on splats are available (location, distance or area).
. Gaussian splats support geo-referencing.
– New input image file support: Phase One RAW (IIQ)
Improved
– 3D Tiles option “maximum screen space error” default value has been adjusted to improve display quality in Cesium ION and standard 3D tiles viewers (from 1 to 16). Advanced users can also edit the setting if needed in the productions settings for better viewing experience in custom Cesium viewer.
Fixed
– Fix a production crash when LOD across tiles is turned on and a reconstruction preset is loaded.
– Fix for thermal workflow failure with specific DJI cameras like the DJI ZH20T.

Twin Capture (formerly ContextCapture) is a high-performance reality modeling software that enables users to create detailed, photorealistic 3D models of real-world environments. By using data from drone-captured photos, LiDAR scans, and other imaging sources, iTwin Capture creates accurate digital representations of physical spaces, which can be used throughout the lifecycle of infrastructure projects in architecture, engineering, construction, and operations.
iTwin Capture Modeler is the photogrammetry desktop solution dedicated to small to mid-size projects. You can connect up to two iTwin Capture Modeler instances running on two different computers to execute parallelized processing and reduce your processing time.

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