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Ranking on Cross-Domain Manifold for Sketch-Based 3D Model Retrieval

Takahiko Furuya, Ryutarou Ohbuchi
2013 2013 International Conference on Cyberworlds  
Sketch-based 3D model retrieval algorithms compare a query, a line drawing sketch, and 3D models for similarity by rendering the 3D models into line drawing-like images.  ...  Experimental evaluation by using sketch-based 3D model retrieval benchmarks showed that the CDMR is more accurate than state-of-the-art sketch-based 3D model retrieval algorithms. 3D shape retrieval; content-based  ...  Takahiko Furuya, Ryutarou Ohbuchi, Ranking on Cross-Domain Manifold for Sketch-based 3D Model Retrieval, regular paper, Proc. CyberWorlds 2013, Oct. 21-23, 2013, Tokyo, Japan.  ... 
doi:10.1109/cw.2013.60 dblp:conf/cw/FuruyaO13 fatcat:ubho53um2rg47kxo7nal5gea3e

Cross-domain correspondence for sketch-based 3D model retrieval using convolutional neural network and manifold ranking

Shichao Jiao, Xie Han, Fengguang Xiong, Fusheng Sun, Rong Zhao, Liqun Kuang
2020 IEEE Access  
To address these problems, we propose cross-domain correspondence method for sketch-based 3D model retrieval based on manifold ranking.  ...  INDEX TERMS Sketch, 3D model retrieval, deep learning, semantic labels, manifold ranking, convolutional neural network.  ...  CONCLUSION In this paper, we proposed a query-by-sketch method for 3D model retrieval based on deep learning and manifold ranking.  ... 
doi:10.1109/access.2020.3006585 fatcat:mr5hempqoff4zegqasz73qvor4

Extended Large Scale Sketch-Based 3D Shape Retrieval [article]

B. Li, Y. Lu, C. Li, A. Godil, T. Schreck, M. Aono, M. Burtscher, H. Fu, T. Furuya, H. Johan, J. Liu, R. Ohbuchi (+2 others)
2014 Eurographics Workshop on 3D Object Retrieval, EG 3DOR  
The objective of this track is to evaluate the performance of different sketch-based 3D model retrieval algorithms using a large scale hand-drawn sketch query dataset on a comprehensive 3D model dataset  ...  Large scale sketch-based 3D shape retrieval has received more and more attentions in the community of contentbased 3D object retrieval.  ...  We would like to thank Mathias Eitz, James Hays and Marc Alexa who collected the 250 classes of sketches.  ... 
doi:10.2312/3dor.20141058 fatcat:ezsitl36rrhetf5pe5bjhhpkqi

Hashing Cross-Modal Manifold for Scalable Sketch-Based 3D Model Retrieval

Takahiko Furuya, Ryutarou Ohbuchi
2014 2014 2nd International Conference on 3D Vision  
This paper proposes a novel sketch-based 3D model retrieval algorithm that is scalable as well as accurate.  ...  Experiments show that our proposed algorithm is more accurate and much faster than previous sketch-based 3D model retrieval algorithms. 3D shape retrieval; content-based multimedia retrieval; hashing;  ...  ACKNOWLEDGMENT This research is supported by JSPS Grant-in-Aid for Scientific Research on Innovative Areas #26120517 and JSPS Grants-in-Aid for Scientific Research (C) #26330133.  ... 
doi:10.1109/3dv.2014.72 dblp:conf/3dim/FuruyaO14 fatcat:xemh7wmb7fg5vj5askteke4zxm

3D Sketch-Based 3D Shape Retrieval [article]

Bo Li, Yijuan Lu, Fuqing Duan, Shuilong Dong, Yachun Fan, Lu Qian, Hamid Laga, Haisheng Li, Yuxiang Li, Peng Liu, Maks Ovsjanikov, Hedi Tabia (+3 others)
2016 Eurographics Workshop on 3D Object Retrieval, EG 3DOR  
In order to enrich and advance the study of sketch-based 3D shape retrieval, we initialize the research on 3D sketch-based 3D model retrieval and collect a 3D sketch dataset based on a developed 3D sketching  ...  The objective of this track is to evaluate the performance of different 3D sketch-based 3D model retrieval algorithms using the hand-drawn 3D sketch query dataset and a generic 3D model target dataset.  ...  Introduction Sketch-based 3D model retrieval is to retrieve relevant 3D models using sketch(es) as input. This scheme is intuitive and convenient for users to learn and search for 3D models.  ... 
doi:10.2312/3dor.20161087 fatcat:yfacfdsp6zg45iav6kokgm3b6y

A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries

Bo Li, Yijuan Lu, Chunyuan Li, Afzal Godil, Tobias Schreck, Masaki Aono, Martin Burtscher, Qiang Chen, Nihad Karim Chowdhury, Bin Fang, Hongbo Fu, Takahiko Furuya (+10 others)
2015 Computer Vision and Image Understanding  
To promote this research area, two Shape Retrieval Contest (SHREC) tracks on large scale comprehensive and sketch-based 3D model retrieval have been organized by us in 2014.  ...  Both tracks were based on a unified large-scale benchmark that supports multimodal queries (3D models and sketches).  ...  We would like to thank Mathias Eitz, James Hays and Marc Alexa who collected the 250 classes of sketches. We would also like to thank the following authors for building the 3D benchmarks:  ... 
doi:10.1016/j.cviu.2014.10.006 fatcat:d3feizyi6rg63g5lra7mczvj2a

A comparison of methods for sketch-based 3D shape retrieval

Bo Li, Yijuan Lu, Afzal Godil, Tobias Schreck, Benjamin Bustos, Alfredo Ferreira, Takahiko Furuya, Manuel J. Fonseca, Henry Johan, Takahiro Matsuda, Ryutarou Ohbuchi, Pedro B. Pascoal (+1 others)
2014 Computer Vision and Image Understanding  
Sketch-based 3D shape retrieval has become an important research topic in content-based 3D object retrieval.  ...  Six and five (nine in total) distinct sketch-based 3D shape retrieval methods have competed each other in these two contests, respectively.  ...  Introduction Sketch-based 3D model retrieval is focusing on retrieving relevant 3D models using sketch(es) as input.  ... 
doi:10.1016/j.cviu.2013.11.008 fatcat:3stzuphlo5ds5emnhtceepojcu

A Novel Sketch-Based 3D Model Retrieval Approach by Integrating PCA-DAISY Descriptor and Fisher Coding Algorithm

Jing Zhang, Baosheng Kang, Bo Jiang, Di Zhang
2017 International Journal of Innovative Computing, Information and Control  
Since the local feature-based methods recognize interior content and utilize the rich information of the sketches and 2D views of 3D model, this paper proposes a novel sketch-based 3D model retrieval algorithm  ...  The experimental results demonstrate that our approach which combines these two algorithms significantly outperforms several latest sketch-based retrieval approaches.  ...  For the sketch-based 3D model retrieval method, how to create feature descriptors [3] between sketches and 2D views of 3D model is crucial.  ... 
doi:10.24507/ijicic.13.02.411 fatcat:3hldhd6htrh45d73aqhqry42bu

Large Scale Comprehensive 3D Shape Retrieval [article]

B. Li, Y. Lu, C. Li, A. Godil, T. Schreck, M. Aono, Q. Chen, N. K. Chowdhury, B. Fang, T. Furuya, H. Johan, R. Kosaka (+3 others)
2014 Eurographics Workshop on 3D Object Retrieval, EG 3DOR  
The objective of this track is to evaluate the performance of 3D shape retrieval approaches on a large-scale comprehensive 3D shape database that contains different types of models, such as generic, articulated  ...  The track is based on a new comprehensive 3D shape benchmark, which contains 8,987 triangle meshes that are classified into 171 categories.  ...  This 3D dataset was also used as the target 3D model dataset in evaluating sketch-based 3D shape retrieval algorithms in the SHREC'14 track on extended large scale sketch-based 3D shape retrieval (http  ... 
doi:10.2312/3dor.20141059 fatcat:6kbbuhwq4bc5rnzybgtlheuryy

Visual Saliency Weighting and Cross-Domain Manifold Ranking for Sketch-Based Image Retrieval [chapter]

Takahiko Furuya, Ryutarou Ohbuchi
2014 Lecture Notes in Computer Science  
To effectively compare the sketch containing stroke noise with database images, we employ Cross-Domain Manifold Ranking (CDMR), a manifold-based distance metric learning algorithm.  ...  A Sketch-Based Image Retrieval (SBIR) algorithm compares a linedrawing sketch with images. The comparison is made difficult by image background clutter.  ...  Recently, we proposed Cross-Domain Manifold Ranking (CDMR) algorithm for the task of sketch-to-3D model "crossdomain" comparison [12] . The CDMR is based on Manifold Ranking proposed by Zhou et al.  ... 
doi:10.1007/978-3-319-04114-8_4 fatcat:wnqnzuu5eja5tabf6zrn7aq7vq

Shape-Based Autotagging of 3D Models for Retrieval [chapter]

Ryutarou Ohbuchi, Shun Kawamura
2009 Lecture Notes in Computer Science  
Experimental evaluation of the method using a text-based 3D model retrieval setting showed that the proposed method is effective in autotagging 3D shape models.  ...  Using Manifold Ranking, our method propagates multiple tags attached to a training subset of models in a database to the other tag-less models.  ...  To retrieve 3D models, a query for the Query-By-Example (QBE) approach could be sketches in either 2D [12] or 3D of the desired shape, an example 3D model, or a photograph of a real-world object having  ... 
doi:10.1007/978-3-642-10543-2_14 fatcat:y7nrdkv74fejjnn3rcfwdmqaxi

Regularized Diffusion Process on Bidirectional Context for Object Retrieval

Song Bai, Xiang Bai, Qi Tian, Longin Jan Latecki
2018 IEEE Transactions on Pattern Analysis and Machine Intelligence  
By deeply exploring the properties of RDP, our first yet basic contribution is providing a manifold-based explanation for tensor product diffusion.  ...  Diffusion process has advanced object retrieval greatly as it can capture the underlying manifold structure.  ...  Xiang Bai by the National Program for Support of Top-notch Young Professionals and the Program for HUST Academic Frontier Youth Team, to Dr.  ... 
doi:10.1109/tpami.2018.2828815 pmid:29993682 fatcat:vtzomm3nvndypdonvkjxelgsby

Deep Common Semantic Space Embedding for Sketch-Based 3D Model Retrieval

Jing Bai, Mengjie Wang, Dexin Kong
2019 Entropy  
Finally, based on the learned features of sketches and 3D models, four kinds of distance metrics between sketches and 3D models are designed, and sketch-based 3D model retrieval results are achieved.  ...  Motivated by these findings, we propose a novel approach for sketch-based 3D model retrieval by constructing a deep common semantic space embedding using triplet network.  ...  However, sketch-based 3D model retrieval is more challenging than example-based retrieval.  ... 
doi:10.3390/e21040369 pmid:33267083 pmcid:PMC7514853 fatcat:qob3waiiybfytgxrjwuvoie37u

Learning Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval

Jin Xie, Guoxian Dai, Fan Zhu, Yi Fang
2017 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
In this paper, we propose to learn barycenters of 2D projections of 3D shapes for sketch-based 3D shape retrieval.  ...  shape and sketch features for retrieval.  ...  Besides the hand-crafted features, learning-based features are also extracted to represent sketches and 3D shapes for sketch-based 3D shape retrieval.  ... 
doi:10.1109/cvpr.2017.385 dblp:conf/cvpr/XieDZF17 fatcat:au3omjdqabaqjhq7ceaii3yyzm

A Study of Retrieval Methods of Multi-Dimensional Images in Different Domains

Shruti Garg
2018 International Journal of Advanced Computer Science and Applications  
To perform image retrieval process on large database, several methods like text based, Content based, Annotation based, semantic based, and sketch based were used.  ...  A systematic literature review has been shown for image retrieval methods reported on 2010 to 2017.  ...  Sketch based retrieving methods are also used for retrieving 3D images on [56] , [57] , [58] . In computer graphics, there is an important application is retrieving the 3D models from 2D.  ... 
doi:10.14569/ijacsa.2018.091041 fatcat:phkvohm7dzed7ntnfkmw4ihtqa
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