Markerlosen

Markerlosen is a German adjective meaning “without markers.” In technical English usage the form markerless (or marker-less) has become common and is often adopted in German-language technical writing as markerlosen to describe methods or systems that do not rely on fiducial or explicit markers.

In markerless motion capture, motion is estimated from video, depth sensors, or multiple cameras using computer vision to determine body pose without markers attached to the subject. This contrasts with marker-based systems that depend on visible markers for tracking. Markerless MoCap relies on algorithms for feature detection, pose estimation, and sometimes machine learning; accuracy can be affected by occlusion, lighting, and calibration requirements.

In markerless augmented reality, virtual content is anchored to the real world by tracking natural features or using simultaneous localization and mapping (SLAM) rather than predefined markers. Markerless AR enables more natural user interaction but depends on robust feature tracking and scene understanding in varying lighting and environments.

In robotics and navigation, markerless approaches use natural landmarks, visual SLAM, LiDAR, or other sensors to orient, map, and navigate without installed markers. Such methods are valuable in dynamic or unprepared environments but may demand higher computational resources and sophisticated sensor fusion.

Linguistically, markerlosen can describe languages or constructions that lack overt grammatical markers. In English-language discussions, the corresponding term markerless is widely used, while its exact German usage can vary by discipline.

See also: marker-based, motion capture, augmented reality, SLAM, fiducial markers.