Enhancing 3D Model Retrieval with Generative Modeling Techniques

Jul 04, 2025

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Explore content-based retrieval of 3D models using advanced generative modeling techniques. Learn from experts at TU Graz, Fraunhofer Austria Research GmbH, and TU Darmstadt.

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Enhancing 3D Model Retrieval with Generative Modeling Techniques

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Content-based Retrieval of 3D Models using Generative Modeling Techniques Harald Grabner, Torsten Ullrich, Dieter W. Fellner TU Graz & Fraunhofer Austria Research GmbH TU Darmstadt & Fraunhofer IGD, Germany www.fraunhofer.at

Shape-Based Retrieval of Articulated 3D Models Using Spectral Embedding

Shape-Based Retrieval of Articulated 3D Models Using Spectral Embedding Varun Jain and Hao Zhang {vjain,haoz}@cs.sfu.ca GrUVi Lab, School of Computing Science Simon Fraser University, Burnaby, BC Canada Problem Overview … … Problem Overview Database Outline Problem Overview

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Content-Based Image Retrieval

Content-Based Image Retrieval. Queries Commercial Systems Retrieval Features Indexing in the FIDS System Lead-in to Object Recognition. Content-based Image Retrieval (CBIR). Searching a large database for images that match a query: What kinds of databases? What kinds of queries?

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Content-based Image Retrieval

Content-based Image Retrieval. Presentation by Charlie Neo. Introduction. Why Digital image database growing rapidly in size Professional needs – Logo Search Difficulty in locating images on the web Example Find a picture of me and jack on the bus. Application CBIR.

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Content-Based Image Retrieval

Content-Based Image Retrieval. Rong Jin. Content-based Image Retrieval. Retrieval by text Label database images by text tags Image retrieval as text retrieval Find images for textual queries using standard text search engines. Example: Flickr.com. Con: require manually labeling.

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Content-Based Image Retrieval

Content-Based Image Retrieval. Michele Saad Email: michele.saad@mail.utexas.edu EE-381K-14: Multi-Dimensional Digital Signal Processing March 06, 2008. Motivation. Exponential increase in computing power and electronic storage capacity

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Content-based Image Retrieval

Content-based Image Retrieval. CE 264 Xiaoguang Feng March 14, 2002. Based on: J. Huang. Color-Spatial Image Indexing and Applications . Ph.D thesis, Cornell Univ., 1998. Contents. Introduction. Color-histogram vs. Correlogram. Implementations and Results. Conclusion. Introduction.

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Generative Models

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Cluster-Based Retrieval Using Language Models

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Content-Based Image Retrieval using the EMD algorithm

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Content Based Image Retrieval

Content Based Image Retrieval. Natalia Vassilieva HP Labs Russia. Tutorial outline. Lecture 1 Introduction Applications Lecture 2 Performance measurement Visual perception Color features Lecture 3 Texture features Shape features Fusion methods Lecture 4 Segmentation

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Content-Based Image Retrieval Using Fuzzy Cognition Concepts

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Generative Models

Generative Models. for probabilistic inference. Michael Stewart. Remember the Joint Distribution?. What about very large/complex models?. "Generative" Modeling. Implement probability theory in computer science to infer a joint distribution

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Content Based Image Retrieval

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Content-based Image Retrieval

Content-based Image Retrieval. Mei Wu Faculty of Computer Science Dalhousie University. Motivation. The huge amount of images, resulting from the fast development of multimedia and the wide spread of internet, makes user-labelled annotation method “mission impossible”.

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Part-based representation for the retrieval of 3D graphical models

Part-based representation for the retrieval of 3D graphical models. Alexander G. Agathos PhD Defense. Department of Product and Systems Design Engineering, University of The Aegean Institute of Informatics and Telecommunications, NCSR “Demokritos”. Contents. 3D Object Retrieval

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Content Based Image Retrieval

Content Based Image Retrieval. Miguel Arevalillo-Herráez. Contents. Introduction Information retrieval Image retrieval CBIR Approaches Combining similarity measures Full CBIR systems Possible extensions to 3D Results and Conclusions. Concepts. Information retrieval

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Content-based Retrieval of 3D Medical Images

Content-based Retrieval of 3D Medical Images. Y. Qian, X. Gao , M. Loomes, R. Comley, B. Barn School of Engineering and Information Sciences Middlesex University, UK R. Hui, Z.Tian Department of Neurosurgery, General Navy Hospital, P.R.China. Contents. 1. Background 2. Methodology

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Content-Based Image Retrieval

Content-Based Image Retrieval. QBIC Homepage http://wwwqbic.almaden.ibm.com/ The State Hermitage Museum http://www.hermitagemuseum.org/fcgi-bin/ db2www/qbicSearch.mac/qbic?selLang=English. Image Database Queries.

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Content-Based Image Retrieval

Content-Based Image Retrieval. Project Proposal by Charlie Neo. Problem. The Growth of Digital Imaging Difficulty of Locating Images on the Web Feature Extraction Automated Object Recognition. Work Done. MIT Photobook IBM QBIC Virage (Altavista) Excalibur (Yahoo) VisualSEEk Etc.

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Content Based Image Retrieval

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Content Based Image Retrieval

The incremented desideratum of content based image retrieval system can be found in a number of different domains such as Data Mining, Edification, Medical Imaging, Malefaction Aversion, climate, Remote Sensing and Management of Globe Resources. Google's image search and photo album implements such as image search, Google's Picasa project applications in general gregarious networking environment, the hunt for practical, efficacious image search in the web context. Our application provides the color based image retrieval, utilizing features like dominant color. The color features are obtained through wavelet transformation and color histogram and the amalgamation of these features is robust to scaling and translation of objects in an image. The proposed system has established a promising and more expeditious retrieval method on a input image database containing more general purpose color images. The performance has been analysed by estimating with the subsisting systems in the literature. Dr. Aziz Makandar | Mrs. Rashmi Somshekhar | Miss. Nayan Jadav "Content Based Image Retrieval" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd24047.pdf Paper URL: https://www.ijtsrd.com/computer-science/data-miining/24047/content-based-image-retrieval/dr-aziz-makandar

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