{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T03:21:24Z","timestamp":1729653684142,"version":"3.28.0"},"reference-count":25,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,12]]},"DOI":"10.1109\/icarcv.2014.7064563","type":"proceedings-article","created":{"date-parts":[[2015,3,25]],"date-time":"2015-03-25T17:39:39Z","timestamp":1427305179000},"page":"1650-1655","source":"Crossref","is-referenced-by-count":1,"title":["A fast pipeline for textured object recognition in clutter using an RGB-D sensor"],"prefix":"10.1109","author":[{"given":"Kanzhi","family":"Wu","sequence":"first","affiliation":[]},{"given":"Ravindra","family":"Ranasinghe","sequence":"additional","affiliation":[]},{"given":"Gamini","family":"Dissanayake","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"article-title":"ANN: A library for Approximate Nearest Neighbor searching","year":"0","author":"mount","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/34.1000236"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"943","DOI":"10.1016\/j.imavis.2005.05.006","article-title":"Object recognition and pose estimation using color cooccurrence histograms and geometric modeling","volume":"23","author":"staffan","year":"2005","journal-title":"Image and Vision Computing"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/11957959_4"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2009.5152473"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2010.5651280"},{"key":"ref16","first-page":"113","article-title":"OUR-CVFH-oriented, unique and repeatable clustered viewpoint feature histogram for object recognition and 6DOF pose estimation","author":"pinz","year":"2012","journal-title":"Pattern Recognit L"},{"key":"ref17","first-page":"2096","article-title":"Multimodal cue integration through hypotheses verification for RGB-D object recognition and 6DOF pose estimation","author":"buchaca","year":"2013","journal-title":"IEEE ICRA"},{"key":"ref18","first-page":"3467","article-title":"A textured object recognition pipeline for color and depth image data","author":"tang","year":"2012","journal-title":"IEEE ICRA"},{"key":"ref19","first-page":"2214","article-title":"Multimodal blending for high-accuracy instance recognition","author":"xie","year":"2013","journal-title":"IEEE\/RSJ IROS"},{"key":"ref4","first-page":"59","article-title":"Learning generative visual models from few training examples: an incremental Bayesian approach tested on 101 object categories","author":"li","year":"2004","journal-title":"IEEE CVPR Workshop on Generative-Model Based Vision"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2005.239"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33868-7_9"},{"journal-title":"Microsoft Kinect","year":"0","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/358669.358692"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2009.5152739"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540018"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1177\/0278364911401765"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1179352.1141964"},{"journal-title":"ICRA","article-title":"Solutions in Perception Instance Recognition Challenge","year":"2011","key":"ref22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2011.5980567"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126544"},{"key":"ref23","first-page":"458","article-title":"NAPSAC: high noise, high dimensional model parameterisation-it's in a bag","author":"myatt","year":"2002","journal-title":"BMCV"},{"key":"ref25","first-page":"778","article-title":"BRIEF: Binary Robust Independent Elementary Features","author":"daniilidis","year":"2010","journal-title":"ECCV"}],"event":{"name":"2014 13th International Conference on Control Automation Robotics & Vision (ICARCV)","start":{"date-parts":[[2014,12,10]]},"location":"Singapore","end":{"date-parts":[[2014,12,12]]}},"container-title":["2014 13th International Conference on Control Automation Robotics & Vision (ICARCV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7056237\/7064265\/07064563.pdf?arnumber=7064563","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,23]],"date-time":"2017-06-23T04:01:59Z","timestamp":1498190519000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7064563\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,12]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/icarcv.2014.7064563","relation":{},"subject":[],"published":{"date-parts":[[2014,12]]}}}