Automatic 3D particle shape classification
DebTech, a company within the DeBeers mining group, developed their R-Sputnik particle characterization system using PRSD Studio.
The system captures silhouette images of particles and generates 3D models of the particles.
"Using PRSD Studio 2.1 we have implemented a classifier that takes in various features extracted from these 3D particle models and classifies them into a number of shape categories that are of relevance to us. The system also allows us to take simultaneous reflectance image of each particle. Relevant data from these images is fed into another classifier that enables us to obtain a colour classification for each particle." -- Garry Morrison, DebTech
Automatic Baggage Handling
PRSD Studio helps Quintech to design robust classification algorithms and quickly embed them in their baggage handling solutions, minimizing the deployment time.
"With PRSD Studio we have been able to apply our classification algorithms to a variety of "real-life" baggage handling products. The PRSD Studio development environment is easy-to-use, powerful and extensive. Deploying the created algorithms is simple and reliable." -- Jorick Naber, Quintech BV
Human Pose Recognition
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At Delft University of Technology Prof. Emile Hendriks and his PhD and master students Fei Fei and Javier have developed a human-computer interface based on body pose recognition. In live video stream, they detect body postures by matching human torso models. Pose classifiers, trained on model parameters in PRSD Studio, are then quickly exported for execution in a real-time posture recognition demo written in C++ and OpenCV. "We have used PRSD Studio for design and evaluation of a real-time pose classifier. PRSD Studio is a very valuable and flexible tool and made our life much easier. Also the support was very good. I can recommend it to every pattern recognition system designer." -- Emile Hendriks, Associate professor, TU Delft. |
- Feifei Huo, E.Hendriks, P.Paclik, A.H.J. Oomes, "Markerless Human Motion Capture and Pose Recognition", In Proc.Of WIAMIS 2009, slides
3D Heart Image Segmentation
Thomas Karavides, MSc student of Erasmus Medical Center in Rotterdam, The Netherlands, used PRSD Studio to optimize detectors for landmark points of 3D segmentation of heart. Thomas leveraged interactive PRSD Studio tools for ROC analysis to fine-tune his AdaBoost detectors according the specific performance requirements.
- Thomas Karavides, K. Y. Esther Leung, P.Paclik, Emile A. Hendriks, Database guided detection of anatomical landmark points in 3D images of the heart, in Proc.of Medical Imaging 2010, San Diego, California, USA