The digital Michelangelo project: 3D scanning of large statues
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Stereo Matching Using Belief Propagation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improved Techniques for Grid Mapping With Rao-Blackwellized Particle Filters
IEEE Transactions on Robotics
Joint calibration of multiple sensors
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Scalable learning for object detection with GPU hardware
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Perception by proxy: humans helping robots to see in a manipulation task
Proceedings of the 6th international conference on Human-robot interaction
A probabilistic framework for object search with 6-DOF pose estimation
International Journal of Robotics Research
Combined 2D-3D categorization and classification for multimodal perception systems
International Journal of Robotics Research
A probabilistic framework for learning kinematic models of articulated objects
Journal of Artificial Intelligence Research
PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part I
A search-classify approach for cluttered indoor scene understanding
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Contextually guided semantic labeling and search for three-dimensional point clouds
International Journal of Robotics Research
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High-resolution 3D scanning can improve the performance of object detection and door opening, two tasks critical to the operation of mobile manipulators in cluttered homes and workplaces. We discuss how high-resolution depth information can be combined with visual imagery to improve the performance of object detection beyond what is (currently) achievable with 2D images alone, and we present door-opening and inventory-taking experiments.