Patrick Gorria
Papers
1
Total Citations
2
H-Index
1
About
Patrick Gorria is a researcher whose work centers on the development of automated 3D acquisition and robotic vision systems. His primary contributions lie in optimizing the pipeline for 3D scanning, particularly through the use of robotic arms and laser triangulation. His most notable paper, "A simulation of automatic 3D acquisition and post-processing pipeline" (2009), introduces a methodology that integrates a 6-degree-of-freedom robotic arm with a laser scanner, solving the complex "next-best-view" problem via a set covering approach to minimize the number of scanning positions. This work, while garnering 2 citations, represents a foundational step in automating the entire 3D digitization process—from viewpoint planning to post-processing. Gorria’s research is significant for its practical application in industrial inspection, reverse engineering, and cultural heritage preservation, where efficient, high-quality 3D model acquisition is critical. His work demonstrates a keen focus on bridging simulation and real-world robotic scanning, contributing to the broader field of computer vision and automated manufacturing.
Research Focus
Key Achievements
Top Papers
- 1A simulation of automatic 3D acquisition and post-processing pipeline2 citations · 2009