Multi-sensor 3D object dataset for object recognition with full pose estimation

Alberto García-García; Sergio Orts‐Escolano; Sergiu Oprea; José García‐Rodríguez; Jorge Azorín-López; Marcelo Saval-Calvo; Miguel Cazorla

doi:10.1007/s00521-016-2224-9

JOURNAL ARTICLE

Multi-sensor 3D object dataset for object recognition with full pose estimation

Alberto García-García Sergio Orts‐Escolano Sergiu Oprea José García‐Rodríguez Jorge Azorín-López Marcelo Saval-Calvo Miguel Cazorla

Year: 2016 Journal: Neural Computing and Applications Vol: 28 (5)Pages: 941-952 Publisher: Springer Science+Business Media

DOI: 10.1007/s00521-016-2224-9

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Keywords:

Computer science Artificial intelligence Computer vision Object (grammar) Segmentation Pose RGB color model Cognitive neuroscience of visual object recognition Pattern recognition (psychology) Pixel

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Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Object Detection Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multi-sensor 3D object dataset for object recognition with full pose estimation

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