Abstract
Modern robots are typically equipped with many sensors with different modalities, e.g. RGB cameras, Time-of-Flight cameras or RGB-D sensors. Thus development of universal, modality-independent algorithms require appropriate datasets and benchmarks. In this paper we present WUT Visual Perception Dataset, consisting of five datasets, captured with different sensors with the goal of development, comparison and evaluation of algorithms for automatic object model registration and object recognition.
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Acknowledgments
The authors acknowledge the financial support of the National Centre for Research and Development grant no. PBS1/A3/8/2012, Poland. Tomasz Kornuta is supported by the IBM Research, Almaden through IBM PostDoc/LTS Programme.
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Stefańczyk, M., Laszkowski, M., Kornuta, T. (2016). WUT Visual Perception Dataset: A Dataset for Registration and Recognition of Objects. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds) Challenges in Automation, Robotics and Measurement Techniques. ICA 2016. Advances in Intelligent Systems and Computing, vol 440. Springer, Cham. https://doi.org/10.1007/978-3-319-29357-8_55
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