Object Modeling and Recognition from Sparse, Noisy Data via Voxel Depth Carving. Klingensmith, M., Herrmann, M., & Srinivasa, S. In International Symposium on Experimental Robotics, 2014. bibtex @inproceedings{klingensmith2014carving,
title = {Object Modeling and Recognition from Sparse, Noisy Data via Voxel Depth Carving},
author = {Klingensmith, M. and Herrmann, M. and Srinivasa, S.S.},
booktitle = iser,
year = {2014}
}
Downloads: 0
{"_id":"G5y5MgSb4LuPmvZ3R","bibbaseid":"klingensmith-herrmann-srinivasa-objectmodelingandrecognitionfromsparsenoisydataviavoxeldepthcarving-2014","downloads":0,"creationDate":"2015-12-14T14:34:44.263Z","title":"Object Modeling and Recognition from Sparse, Noisy Data via Voxel Depth Carving","author_short":["Klingensmith, M.","Herrmann, M.","Srinivasa, S."],"year":2014,"bibtype":"inproceedings","biburl":"https://raw.githubusercontent.com/personalrobotics/pubs/master/siddpubs-conf.bib","bibdata":{"bibtype":"inproceedings","type":"inproceedings","title":"Object Modeling and Recognition from Sparse, Noisy Data via Voxel Depth Carving","author":[{"propositions":[],"lastnames":["Klingensmith"],"firstnames":["M."],"suffixes":[]},{"propositions":[],"lastnames":["Herrmann"],"firstnames":["M."],"suffixes":[]},{"propositions":[],"lastnames":["Srinivasa"],"firstnames":["S.S."],"suffixes":[]}],"booktitle":"International Symposium on Experimental Robotics","year":"2014","bibtex":"@inproceedings{klingensmith2014carving,\n title = {Object Modeling and Recognition from Sparse, Noisy Data via Voxel Depth Carving},\n author = {Klingensmith, M. and Herrmann, M. and Srinivasa, S.S.},\n booktitle = iser,\n year = {2014}\n}\n\n","author_short":["Klingensmith, M.","Herrmann, M.","Srinivasa, S."],"key":"klingensmith2014carving","id":"klingensmith2014carving","bibbaseid":"klingensmith-herrmann-srinivasa-objectmodelingandrecognitionfromsparsenoisydataviavoxeldepthcarving-2014","role":"author","urls":{},"metadata":{"authorlinks":{}},"downloads":0},"search_terms":["object","modeling","recognition","sparse","noisy","data","via","voxel","depth","carving","klingensmith","herrmann","srinivasa"],"keywords":[],"authorIDs":[],"dataSources":["fjwFZ77bA7DPH9xSE","2w36kRfPyLd5XXAew"]}