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A Novel Local Surface Description for Automatic 3D Object Recognition in Low Resolution Cluttered Scenes
2013
2013 IEEE International Conference on Computer Vision Workshops
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We tested our proposed descriptor on the challenging low resolution Washington RGB-D (Kinect) object dataset, for the task of automatic 3D object recognition. ...
Local surface description is a critical stage for feature matching and recognition tasks. This paper presents a rotation invariant local surface descriptor, called 3D-Div. ...
We detected objects in the scene and extracted 3D-Div of each object. We then matched scene features with the object features in the database for recognition task. ...
doi:10.1109/iccvw.2013.88
dblp:conf/iccvw/ShahBBE13
fatcat:tumksz456fcx5nzpmynpczsoym
On the Repeatability and Quality of Keypoints for Local Feature-based 3D Object Retrieval from Cluttered Scenes
2009
International Journal of Computer Vision
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3D object recognition from local features is robust to occlusions and clutter. ...
We also propose an automatic scale selection technique for extracting multi-scale and scale invariant features to match objects at different unknown scales. ...
Acknowledgements We thank the anonymous reviewers for their detailed comments and suggestions which resulted in the improvement of this paper. We also acknowledge J. ...
doi:10.1007/s11263-009-0296-z
fatcat:c4xypj7obvgaxpcoepcwk25fme
A Review on Fuzzy Logic Based Object Recognition Techniques
2017
International Journal for Research in Applied Science and Engineering Technology
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this paper discussed about various object recognition techniques such as text detection and recognition system based on a scalable feature learning algorithm and applied it to images of text in natural ...
A novel approach to learning shape prior models from images annotated with bounding boxes. Based on the shape representation of oriented edge points, our learning process is robust to clutter. ...
INTRODUCTION Automatic reading of text in natural scenes and it is on the recognition of individual characters in such scenes. Highlight why this can be a hard task. ...
doi:10.22214/ijraset.2017.10126
fatcat:4en674tvjnfinlawdwpvyrc5z4
Action4D: Real-time Action Recognition in the Crowd and Clutter
[article]
2018
arXiv
pre-print
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Recognizing multiple people's actions in the cluttered 4D representation is a new problem. In this paper, we propose novel methods to solve this problem. ...
We propose to tackle the action recognition problem using a holistic 4D "scan" of a cluttered scene to include every detail about the people and environment. ...
In this paper, we propose a novel 4D method for robust action recognition. ...
arXiv:1806.02424v1
fatcat:akm6ewbiuzbf3b3t435wvrwexi
3D Geometric Scale Variability in Range Images: Features and Descriptors
2012
International Journal of Computer Vision
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of range images and 3D object recognition in highly cluttered range image scenes. ...
In this paper we present a comprehensive framework for exploiting this 3D geometric scale variability in range images that provides rich information for characterizing the overall geometry. ...
For instance, in a human face, both the tip of the nose and dimples are discriminative geometric features suitable for representing the underlying surface. ...
doi:10.1007/s11263-012-0526-7
fatcat:tc4huygzcfb4bebtwjev6f6yju
Three-Dimensional Model-Based Object Recognition and Segmentation in Cluttered Scenes
2006
IEEE Transactions on Pattern Analysis and Machine Intelligence
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We present a novel 3D model-based algorithm which performs this task automatically and efficiently. ...
Viewpoint independent recognition of free-form objects and their segmentation in the presence of clutter and occlusions is a challenging task. ...
ACKNOWLEDGMENTS The authors would like to acknowledge: CMU for providing range data (model 23 and 30 of Fig. 12 ), 3D model (13) , the mesh reduction, and the spin image recognition code; Stanford University ...
doi:10.1109/tpami.2006.213
pmid:16986541
fatcat:az54im5tvng4dnzz5ukqrn3ini
Scale-hierarchical 3D object recognition in cluttered scenes
2010
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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3D object recognition in scenes with occlusion and clutter is a difficult task. In this paper, we introduce a method that exploits the geometric scale-variability to aid in this task. ...
Furthermore, for the first time we systematically demonstrate the method's ability to accurately localize objects despite changes in their global scales. ...
Acknowledgement This work was supported in part by National Science Foundation CAREER Award IIS-0746717 and IIS-0803670. ...
doi:10.1109/cvpr.2010.5539774
dblp:conf/cvpr/BariyaN10
fatcat:t7ks2g3nvfa2ndann4cku6fxf4
Recognizing Objects in 3D Point Clouds with Multi-Scale Local Features
2014
Sensors
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Recognizing 3D objects from point clouds in the presence of significant clutter and occlusion is a highly challenging task. In this paper, we present a coarse-to-fine 3D object recognition algorithm. ...
These scene features are then matched against all model features to generate recognition hypotheses, which include model hypotheses and pose hypotheses. ...
Min Lu was responsible for the theoretical work of this paper, and Yulan Guo and Yanxin Ma implemented the algorithm and conducted most of the experiments. ...
doi:10.3390/s141224156
pmid:25517694
pmcid:PMC4299104
fatcat:2baxtude6japxpbmn7jo2gzzay
Using spin images for efficient object recognition in cluttered 3D scenes
1999
IEEE Transactions on Pattern Analysis and Machine Intelligence
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We present a 3D shape-based object recognition system for simultaneous recognition of multiple objects in scenes containing clutter and occlusion. ...
We present a compression scheme for spin images that results in efficient multiple object recognition which we verify with results showing the simultaneous recognition of multiple objects from a library ...
We would also like to thank Karun Shimoga for the use of the K 2 T sensor and Kaushik Merchant for his time spent segmenting 3D scenes. ...
doi:10.1109/34.765655
fatcat:i5kuma24mvarrda3clsz2m2dmq
Integrating shape and color cues for textured 3D object recognition
2013
2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA)
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3D object recognition is a fundamental research topic. However, shape only feature descriptors for 3D object recognition have been the main focus of research. ...
In this paper we present novel 3D object recognition algorithms which use not only shape but also color cues. ...
Mian et al. proposed a tensor based algorithm for automatic 3D modeling and object recognition [14] . ...
doi:10.1109/iciea.2013.6566627
fatcat:w4d2adnucfh25fsnwgkhi3ov2e
Object registration in semi-cluttered and partial-occluded scenes for augmented reality
2018
Multimedia tools and applications
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We present two novel algorithms for object recognition and matching to improve the registration accuracy from model to scene transformation via point cloud fusion. ...
Whilst the first algorithm effectively deals with simple scenes with few object occlusions, the second algorithm handles cluttered scenes with partial occlusions for robust real-time object recognition ...
Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. ...
doi:10.1007/s11042-018-6905-5
fatcat:jj5ejttqtzgnrnv3bxgmnnexcy
Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching
[article]
2020
arXiv
pre-print
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Exhaustive experimental results demonstrate that our multi-affordance grasping achieves high success rates for a wide variety of objects in clutter, and our recognition algorithm achieves high accuracy ...
The key new feature of the system is that it handles a wide range of object categories without needing any task-specific training data for novel objects. ...
/1539099), NVIDIA, and Facebook for hardware, technical, and financial support. ...
arXiv:1710.01330v5
fatcat:yyytldcvnfbvnailib366awsg4
Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching
2019
The international journal of robotics research
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Exhaustive experimental results demonstrate that our multi-affordance grasping achieves high success rates for a wide variety of objects in clutter, and our recognition algorithm achieves high accuracy ...
The key new feature of the system is that it handles a wide range of object categories without needing any task-specific training data for novel objects. ...
This paper is a revision of a paper appearing in the proceedings of the 2018 International Conference on Robotics and Automation (Zeng et al., 2018b) . ...
doi:10.1177/0278364919868017
fatcat:tjzvct4y7rfnfiqk5bhlegpiwi
A Perceptual Grouping Hierarchy for Appearance-Based 3D Object Recognition
1999
Computer Vision and Image Understanding
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novel, to represent 3-D objects in a form that not only allows recognition, but reasoning about 3D manipulation of a sort that has been supported in the past only by 3D geometric models. ...
In this report we consider the problem of 3D object recognition, and the role that perceptual grouping processes must play. ...
3-D objects in a form that not only allows recognition, but reasoning about 3D manipulation of a sort that has been supported in the past only by 3D geometric models. ...
doi:10.1006/cviu.1999.0788
fatcat:ly2rpor4vvbw3ikmqhketr4wmu
Rotational Projection Statistics for 3D Local Surface Description and Object Recognition
2013
International Journal of Computer Vision
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Recognizing 3D objects in the presence of noise, varying mesh resolution, occlusion and clutter is a very challenging task. ...
It has three major modules: Local Reference Frame (LRF) definition, RoPS feature description and 3D object recognition. ...
The authors also acknowledge A. Zaharescu from Aimetis Corporation for the results on the PHOTOMESH Dataset shown in Tables 3 and 4. ...
doi:10.1007/s11263-013-0627-y
fatcat:6ug4scszbngj7itgzghvffdera
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