Matt Parker
Papers
3
Total Citations
72
H-Index
3
About
Matt Parker is a pioneering researcher in computer vision and interactive systems, best known for his groundbreaking work on low-cost 3D sensing and its applications. His most influential contribution, "Hacking the Kinect" (2012, 56 citations), became a definitive guide for developers and technologists, demonstrating how to repurpose the Microsoft Kinect sensor for creative and practical projects beyond gaming. This work helped democratize 3D sensing technology, sparking innovation in personal robotics, augmented reality, and human-computer interaction. Parker further advanced the field with "Object Modeling and Detection" (2012, 9 citations), which explored acquiring and recognizing 3D object models using affordable depth cameras, opening new possibilities for autonomous systems. Earlier in his career, he investigated artificial life and evolutionary robotics in "Evolution and Prioritization of Survival Strategies for a Simulated Robot in Xpilot" (2005, 7 citations), using genetic algorithms to enable autonomous agents to learn and prioritize survival behaviors. Parker’s research bridges hardware hacking, computer vision, and adaptive systems, making him a key figure in accessible sensing technology and its real-world impact.
Research Focus
Key Achievements
Top Papers
- 1Hacking the Kinect56 citations · 2012
- 2Object Modeling and Detection9 citations · 2012
- 3