Herrera C. Daniel

Papers

Total Citations

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About

Daniel Herrera C. is a computer vision researcher whose work has been instrumental in democratizing 3D sensing technology. His most recognized contribution is the seminal book *Hacking the Kinect* (2012), which served as the definitive guide for developers and hobbyists seeking to unlock the potential of the Microsoft Kinect sensor. With 56 citations, this work bridged the gap between a revolutionary piece of consumer hardware and the broader research community, enabling a wave of innovation in personal robotics, augmented reality, and interactive systems. Herrera’s research focuses on object modeling and detection, specifically addressing the challenge of acquiring and recognizing 3D object models using low-cost depth cameras. His 2012 work in this area, while less cited, laid critical groundwork for practical applications in environments where traditional, expensive 3D sensors were infeasible. By providing accessible methodologies for 3D object recognition, Herrera has helped lower the barrier to entry for researchers and engineers, empowering a new generation of projects in personal robotics and augmented reality. His efforts remain a key reference point for anyone looking to harness consumer-grade depth sensors for advanced computer vision tasks.