Alignment & matching
Shape-based matching
The software’s superior subpixel-accurate matching technology finds objects robustly and accurately in real-time. It does so even if they are rotated, scaled, perspectively distorted, locally deformed, partially occluded or located outside of the image, or undergo nonlinear illumination changes. It can process images with 8 or 16 bits and also handles color or multi-channel images. Objects can be trained from images or from CAD-like data. Moreover, MVTec’s unique component-based matching is able to locate objects that are composed of multiple parts that can move with respect to each other. Our local deformable matching finds objects with deformed or wrinkled surfaces, and our perspective deformable matching robustly localizes objects with perspective distortions. Watch the following tutorial videos and learn how to create shape-based matching applications with our software:
- PART 1: Introductory Tutorial
- PART 2: Process the results, align ROIs or images
- PART 3: Speedup vs. robustness, advanced parameters
Extended Parameter Estimation
Allows parameters to be estimated with greater granularity, which significantly speeds up execution in some applications. “Extended Parameter Estimation” enables this estimation also for users without in-depth machine vision expertise.
Score Visualization for Shape Matching
With Score Visualization for Shape Matching in HALCON 25.11, users gain increased transparency when setting up shape matching applications. Instead of only returning an overall score, the feature provides a breakdown of how different model parts contribute to the final result. By configuring color-coded bins, users can immediately see which areas match well and which perform poorly, for example due to shadows or unwanted textures. This visual feedback makes it much easier to refine models, remove problematic parts, and optimize applications – a major usability advantage especially for non-expert users.
The feature can also support advanced scenarios in robotics, helping determine which object in a stack is least covered and should be picked first.
Correlation-based matching
The correlation-based matching of MVTec software products is particularly robust against defocus, shape deformation, rotation, and texture.
Descriptor-based matching
Planar objects with texture are localized with the software’s descriptor-based matching. This method is extremely fast and localizes the objects in any rotation and tilt.
Shape-based 3D matching
Recognition and 3D pose determination of arbitrary 3D objects: the cutting-edge 3D matching of MVTec software determines the position and orientation of 3D objects represented by their CAD model.
You can learn more about our sophisticated shape-based 3D matching technology here.
Recognition and 3D pose determination of arbitrary 3D objects: the cutting-edge 3D matching of MVTec software determines the position and orientation of 3D objects represented by their CAD model.
You can find more Information on our surface-based 3D Matching Technology here.
Application examples
Find out how customers use MVTec software to develop high-innovative solutions through alignment and matching.