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OpenAlex topic

3D Shape Modeling and Analysis

This page lists works and academicians tagged with an OpenAlex topic. It is not a YÖKSİS primary or secondary field.

OpenAlex 1,026 works 50 author topics

Works

1,026 works

  1. OpenAlex top 1% OpenAlex 100.0%

    Large repositories of 3D shapes provide valuable input for data-driven analysis and modeling tools. They are especially powerful once annotated with semantic information such as salient regions and functional parts. We propose a novel active learning method capable of enriching massive geometric datasets with accurate…

  2. OpenAlex top 1% OpenAlex 99.3%

    No abstract yet.

  3. OpenAlex top 10% OpenAlex 97.7%

    The success of various applications including robotics, digital content creation, and visualization demand a structured and abstract representation of the 3D world from limited sensor data. Inspired by the nature of human perception of 3D shapes as a collection of simple parts, we explore such an abstract shape repres…

  4. OpenAlex top 1% OpenAlex 99.9%

    We propose a deep learning approach for finding dense correspondences between 3D scans of people. Our method requires only partial geometric information in the form of two depth maps or partial reconstructed surfaces, works for humans in arbitrary poses and wearing any clothing, does not require the two people to be s…

  5. OpenAlex top 1% OpenAlex 99.9%

    We present a new local descriptor for 3D shapes, directly applicable to a wide range of shape analysis problems such as point correspondences, semantic segmentation, affordance prediction, and shape-to-scan matching. The descriptor is produced by a convolutional network that is trained to embed geometrically and seman…

  6. OpenAlex top 1% OpenAlex 99.5%

    Applications in virtual and augmented reality create a demand for rapid creation and easy access to large sets of 3D models. An effective way to address this demand is to edit or deform existing 3D models based on a reference, e.g., a 2D image which is very easy to acquire. Given such a source 3D model and a target wh…

  7. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.3%

    We address content-based retrieval of complete 3D object models by a probabilistic generative description of local shape properties. The proposed shape description framework characterizes a 3D object with sampled multivariate probability density functions of its local surface features. This density-based descriptor ca…

  8. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 97.0%

    No abstract yet.

  9. OpenAlex top 1% OpenAlex 99.2%

    Mechanical figures that mimic human motions continue to entertain us and capture our imagination. Creating such automata requires expertise in motion planning, knowledge of mechanism design, and familiarity with fabrication constraints. Thus, automaton design remains restricted to only a handful of experts. We propose…

  10. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 96.5%

    No abstract yet.

  11. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.4%

    3-D scene representation is utilized during scene extraction, modeling, transmission and display stages of a 3DTV framework. To this end, different representation technologies are proposed to fulfill the requirements of 3DTV paradigm. Dense point-based methods are appropriate for free-view 3DTV applications, since the…

  12. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.4%

    3-D scene representation is utilized during scene extraction, modeling, transmission and display stages of a 3DTV framework. To this end, different representation technologies are proposed to fulfill the requirements of 3DTV paradigm. Dense point-based methods are appropriate for free-view 3DTV applications, since the…

Academicians

50 academicians