Papers
5
Total Citations
428
H-Index
5
About
Pierre Grussenmeyer is a prominent researcher specializing in close-range 3D modeling, photogrammetry, and depth sensing technologies, with particular expertise in the evaluation and application of RGB-D camera systems. His work has made significant contributions to the fields of computer vision, robotics, cultural heritage documentation, and indoor spatial modeling. Grussenmeyer is perhaps best known for his rigorous assessment and calibration studies of consumer-grade depth sensors, most notably the Microsoft Kinect v2. His 2015 papers on the sensor's capabilities for close-range 3D modeling have collectively garnered over 400 citations, establishing him as a leading authority on the practical deployment of low-cost depth cameras in scientific and engineering contexts. These foundational studies helped researchers and practitioners worldwide understand the accuracy limitations and potential of affordable RGB-D technology. Beyond sensor evaluation, Grussenmeyer has advanced multi-sensor data fusion methodologies, demonstrating how Terrestrial Laser Scanning (TLS) point clouds can be effectively combined with Kinect v2 data to produce more complete and accurate indoor building models — work with clear implications for architectural heritage recording. His continued evaluation of emerging low-cost depth sensors for outdoor applications reflects his commitment to democratizing high-quality 3D acquisition, bridging the gap between cutting-edge technology and accessible, real-world implementation.
Research Focus
Key Achievements
Top Papers
- 1
- 2FIRST EXPERIENCES WITH KINECT V2 SENSOR FOR CLOSE RANGE 3D MODELLING193 citations · 2015
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- 5EVALUATION OF LOW-COST DEPTH SENSORS FOR OUTDOOR APPLICATIONS7 citations · 2022