Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Part-based data-driven shape interpolation
Download
index.pdf
Date
2018
Author
Aydınlılar, Melike
Metadata
Show full item record
Item Usage Stats
82
views
65
downloads
Cite This
An active problem in digital geometry processing is shape interpolation which aims to generate a continuous sequence of in-betweens for a given source and target shape. Unlike traditional approaches that interpolate source and target shapes in isolation, recent data-driven approaches utilize multiple interpolations through intermediate database shapes, and consequently perform better at the expense of a database requirement. In contrast to the existing data-driven approaches that consider intermediate shapes as full inseparable entities, our novel data-driven method treats the shapes as separable rigid parts. In particular, we interpolate rigid parts over different intermediate shapes and merge them all in the end, which brings more flexibility and variety than the existing ways of interpolating the full shape as a whole over one fixed set of intermediates. To be able to proceed consistently over different sets of intermediate shapes, we construct a unified framework based on parametric curves. We demonstrate visually appealing and natural shape interpolation results in comparison with two other techniques. As a side contribution, we provide a public articulated hand dataset with fixed connectivity, which can be used in the evaluation of other shape interpolation methods. Our code and executables are also publicly available.
Subject Keywords
Imaging systems.
,
Image processing.
,
Computer graphics.
,
Shape Interpolation.
URI
http://etd.lib.metu.edu.tr/upload/12622285/index.pdf
https://hdl.handle.net/11511/27573
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Part-based data-driven 3D shape interpolation
Aydinlilar, Melike; Sahillioğlu, Yusuf (2021-07-01)
An active problem in digital geometry processing is shape interpolation which aims to generate a continuous sequence of in-betweens for a given source and target shape. Unlike traditional approaches that interpolate source and target shapes in isolation, recent data-driven approaches utilize multiple interpolations through intermediate database shapes, and consequently perform better at the expense of a database requirement. In contrast to the existing data-driven approaches that consider intermediate shape...
Part-Aware Distance Fields for Easy Inbetweening in Arbitrary Dimensions
Tarı, Zehra Sibel (2013-07-01)
The motivation for this work is to explore a possible computer graphics application for a part aware distance field developed recently. Computing in-between shapes is chosen as a toy application. Rather than presenting a highly competitive scheme which continuously morphs one shape into another, our aim is to investigate whether in-betweens may be defined as ordinary averages once a proper shape representation (e.g. a part aware field) is established. The constructions are independent of the dimension of th...
A comparative study on pose estimation algorithms using visual data
Çetinkaya, Güven; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2012)
Computation of the position and orientation of an object with respect to a camera from its images is called pose estimation problem. Pose estimation is one of the major problems in computer vision, robotics and photogrammetry. Object tracking, object recognition, self-localization of robots are typical examples for the use of pose estimation. Determining the pose of an object from its projections requires 3D model of an object in its own reference system, the camera parameters and 2D image of the object. Mo...
Head modeling with camera auto-calibration and deformation
Hassanpour, R; Atalay, Mehmet Volkan (2002-01-01)
A 3D head modeling method from a sequence of 2D images is described. The views from which the input images are acquired are not calibrated., Therefore, an auto-calibration method for a sequence of images with small rotations and translation is developed. For this purpose, we have modified an already existing auto-calibration algorithm to incorporate known aspect ratio and skew values to make it applicable for small rotation around a single axis. We apply this auto-calibration technique to head (face) modeli...
3d geometric hashing using transform invariant features
Eskizara, Ömer; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2009)
3D object recognition is performed by using geometric hashing where transformation and scale invariant 3D surface features are utilized. 3D features are extracted from object surfaces after a scale space search where size of each feature is also estimated. Scale space is constructed based on orientation invariant surface curvature values which classify each surface point's shape. Extracted features are grouped into triplets and orientation invariant descriptors are defined for each triplet. Each pose of eac...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. Aydınlılar, “Part-based data-driven shape interpolation,” M.S. - Master of Science, Middle East Technical University, 2018.