photogrammerty
Generated on 8/1/2024
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Photogrammetry is discussed in the session titled Discover area mode for Object Capture. This session covers how to use photogrammetry to reconstruct models from images, including the use of masks to improve reconstruction quality. It also explains the properties of a photogrammetry sample, such as RGB image data, depth maps, gravity vectors, metadata, and object masks.
For more detailed information, you can refer to the following chapters in the session:
Additionally, the session Build compelling spatial photo and video experiences discusses the technical aspects of capturing and processing stereo images, which is relevant to photogrammetry. This includes guidelines for stereo rectification, optical axis alignment, and ensuring no vertical disparity in images.
For a deeper dive into spatial media formats, you can check the chapter Deep dive into spatial media formats.
Build compelling spatial photo and video experiences
Learn how to adopt spatial photos and videos in your apps. Explore the different types of stereoscopic media and find out how to capture spatial videos in your iOS app on iPhone 15 Pro. Discover the various ways to detect and present spatial media, including the new QuickLook Preview Application API in visionOS. And take a deep dive into the metadata and stereo concepts that make a photo or video spatial.
Discover area mode for Object Capture
Discover how area mode for Object Capture enables new 3D capture possibilities on iOS by extending the functionality of Object Capture to support capture and reconstruction of an area. Learn how to optimize the quality of iOS captures using the new macOS sample app for reconstruction, and find out how to view the final results with Quick Look on Apple Vision Pro, iPhone, iPad or Mac. Learn about improvements to 3D reconstruction, including a new API that allows you to create your own custom image processing pipelines.