# eVision

> eVision 26.10.0 documentation


2026, Euresys

## Pages in this subsection

- [3D Processing](index.html.md): Overview of the 3D Processing libraries Easy3D, Easy3DLaserLine, Easy3DObject, and Easy3DMatch, with links to their guides and reference manuals.
- [Easy3D - Tools for 3D Object Processing](easy3d/index.html.md): Introduces Easy3D's 3D representation and containers, including E3DPoint, E3DLine, E3DPlane, E3DSphere, E3DBox, and E3DObject.
- [Base Types](easy3d/base_types.html.md): This section presents the fundamental types of &#42;&#42;Easy3D&#42;&#42; to represent objects in a 3D space.
- [Depth Maps](easy3d/depth_map.html.md): Introduces the depth map representation, a grayscale image encoding 3D displacement per pixel, used as the raw output of a laser triangulation scan.
- [Point Clouds](easy3d/point_cloud.html.md): Covers point cloud attributes, normals, transformations, cropping, decimation, plane and sphere fitting, and alignment with Easy3D.
- [Meshes](easy3d/mesh.html.md): Describes the EMesh triangle mesh representation and how to generate a mesh from a depth map, a ZMap, or a point cloud.
- [ZMaps](easy3d/zmap.html.md): Explains ZMaps, the grayscale representation of a metric 3D surface projected onto a reference plane, including generation, coordinates, and leveling.
- [3D Filters and Statistics](easy3d/3d_filters_and_statistics.html.md): Explains the EFilters and EStatistics classes for removing noise and computing local statistics on ZMaps and depth maps.
- [3D Viewer](easy3d/3d_viewer.html.md): Describes the E3DViewer interactive 3D viewer for point clouds, ZMaps, and meshes, covering render sources, shading, color ramps, and point picking.
- [Photometric Stereo](easy3d/photometric_stereo.html.md): Explains photometric stereo, a technique that estimates surface normals and albedo from several images taken under different light directions.
- [Easy3DLaserLine - Laser Line Extraction and Calibration](easy3dlaserline/index.html.md): Guide to Easy3DLaserLine, covering laser line extraction methods, hardware versus software performance, and object-based calibration of a triangulation setup.
- [Laser Triangulation and Extraction](easy3dlaserline/triangulation_and_extraction.html.md): This section explains the basics of laser triangulation and laser line extraction.
- [Line Extraction Benchmark](easy3dlaserline/line_extraction_benchmark.html.md): The following information is valid for all tables in this section:
- [Calibration](easy3dlaserline/calibration.html.md): Calibration is used to apply the transformation between a depth map and a point cloud or a mesh.
- [Easy3DObject - Extracting 3D Objects](easy3dobject/index.html.md): Guide to Easy3DObject, covering how the E3DObjectExtractor detects objects on a ZMap and computes features like height, area, and volume.
- [Object Features](easy3dobject/object_features.html.md): This section presents the various features that pertain to a 3D object.
- [Extracting and Using Objects](easy3dobject/extracting_using_objects.html.md): Use the &#96;E3DObjectExtractor::Extract&#96; &lt;sub&gt;.NET&lt;/sub&gt; &lt;sub&gt;Python&lt;/sub&gt; method to perform the object...
- [Easy3DMatch - 3D Alignment and Comparison](easy3dmatch/index.html.md): Guide to Easy3DMatch, covering alignment, comparison, anomaly detection, and multi-sensor point cloud fusion for scanned 3D objects.
- [Alignment, Comparison and Matching](easy3dmatch/matching.html.md): This section explains how to perform 3D alignment and comparison. 3D matching combines both steps in...
- [3D Sensor Fusion](easy3dmatch/sensor_fusion.html.md): 3D sensor fusion is a technique to merge the output of different 3D sensors together. In this case, ...

## Optional

- [Top-level llms.txt](../../llms.txt): Complete documentation index.
