Papers
2
Total Citations
405
H-Index
2
About
Tania Landes is a prominent researcher specializing in close-range 3D modeling, photogrammetry, and sensor calibration, with a particular focus on RGB-D camera technology and its practical applications. Her work has significantly advanced the understanding and adoption of affordable depth-sensing technologies, most notably Microsoft's Kinect sensor series, for scientific and engineering purposes. Landes is perhaps best known for her rigorous investigations into the assessment and calibration of RGB-D cameras, particularly the Kinect v2 sensor. Her 2015 studies provided the research community with critical insight into the accuracy, limitations, and potential of these low-cost sensors for close-range 3D modeling applications — work that has collectively garnered over 400 citations, reflecting its substantial influence on the field. By bridging the gap between consumer-grade hardware and professional 3D acquisition workflows, her research has made high-quality spatial data capture more accessible to researchers in robotics, computer vision, and geospatial sciences. Her contributions have been particularly valuable for students and practitioners seeking cost-effective alternatives to traditional survey-grade instrumentation, establishing her as a key voice in the democratization of 3D sensing technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2FIRST EXPERIENCES WITH KINECT V2 SENSOR FOR CLOSE RANGE 3D MODELLING193 citations · 2015