Papers
3
Total Citations
413
H-Index
3
About
Elise Lachat is a researcher specializing in close-range 3D modeling, RGB-D sensing technologies, and the integration of depth camera systems for spatial reconstruction applications. Her work has made significant contributions to the assessment and practical application of consumer-grade depth sensors — particularly Microsoft's Kinect v2 — within the fields of photogrammetry, computer vision, and robotics. Lachat's most influential contributions focus on rigorously evaluating the geometric accuracy and calibration requirements of RGB-D cameras for close-range 3D modeling tasks. Her 2015 paper on the assessment and calibration of the Kinect v2 sensor has garnered over 212 citations, establishing it as a foundational reference for researchers adopting low-cost depth sensors in scientific workflows. A complementary study on first experiences with the Kinect v2 has attracted nearly 193 citations, underscoring the community's appetite for accessible yet reliable 3D acquisition tools. Beyond sensor evaluation, Lachat has explored the fusion of terrestrial laser scanning (TLS) point clouds with Kinect-derived data to produce more complete indoor building models — a direction highly relevant to cultural heritage documentation and architectural reconstruction. Her body of work bridges the gap between professional-grade surveying instruments and affordable consumer sensors, making 3D modeling more accessible to a broader range of researchers and practitioners.
Research Focus
Key Achievements
Top Papers
- 1
- 2FIRST EXPERIENCES WITH KINECT V2 SENSOR FOR CLOSE RANGE 3D MODELLING193 citations · 2015
- 3