Papers
2
Total Citations
405
H-Index
2
About
H. Macher is a leading researcher in close-range 3D modeling and sensor calibration, with a particular focus on RGB-D camera technology. Their pioneering work has centered on evaluating and calibrating consumer-grade depth sensors, most notably the Microsoft Kinect v2, for high-precision 3D reconstruction applications. Macher's seminal 2015 paper, "Assessment and Calibration of a RGB-D Camera (Kinect v2 Sensor) Towards a Potential Use for Close-Range 3D Modeling," has garnered over 212 citations, establishing foundational methodologies for transforming affordable gaming hardware into reliable scientific instruments. A companion study, "First Experiences with Kinect v2 Sensor for Close Range 3D Modelling," has accumulated 193 citations, further cementing Macher's influence in the field. Their research systematically addresses critical challenges in depth sensor accuracy, calibration protocols, and data fusion techniques, enabling cost-effective 3D acquisition for robotics, computer vision, and cultural heritage documentation. By demonstrating that low-cost RGB-D cameras could achieve professional-grade results when properly calibrated, Macher has democratized access to 3D modeling technology, inspiring a generation of researchers to explore innovative applications in spatial computing and digital preservation.
Research Focus
Key Achievements
Top Papers
- 1
- 2FIRST EXPERIENCES WITH KINECT V2 SENSOR FOR CLOSE RANGE 3D MODELLING193 citations · 2015