Ran Gal

רן גל

מועמד לתואר דוקטור לפילוסופיה בבית הספר למדעי המחשב באוניברסיטת תל-אביב
מנחה: פרופסור דניאל כהן-אור. תחום המחקר: גרפיקה ממוחשבת

דוא"ל: galran@post.tau.ac.il
טלפון:   מעבדה: 036405369    בית: 039561447

 

קורות חיים


Research Projects:
 
3D Collage: Expressive Non-Realistic Modeling
Ran Gal, Olga Sorkine, Tiberiu Popa, Alla Sheffer and Daniel Cohen-Or

NPAR 2007 (The 5th International Symposium on Non-Photorealistic Animation and Rendering)
 

 
The ability of computer graphics to represent images symbolically has so far been used mostly to render existing models with greater clarity or with greater visual appeal. In this work, we present a method aimed at harnessing this symbolic representation power to increase the expressiveness of the 3D models themselves. We achieve this through modification of the actual representation of 3D shapes rather than their images. In particular, we focus on 3D collage creation, namely, a generation of compound representations of objects.   More...

Surface Reconstruction using Local Shape Priors
Ran Gal, Ariel Shamir, Tal Hassner, Mark Pauly and Daniel Cohen-Or
Eurographics Symposium on Geometry Processing (SGP) 2007

We present an example-based surface reconstruction method for scanned point sets. Our approach uses a database of local shape priors built from a set of given context models that are chosen specifically to match a specific scan. Local neighborhoods of the input scan are matched with enriched patches of these models at multiple scales. Hence, instead of using a single prior for reconstruction, our method allows specific regions in the scan to match the most relevant prior that fits best. Such high confidence matches carry relevant information from the prior models to the scan, including normal data and feature classification, and are used to augment the input point-set. More...

Pose Oblivious Shape Signature
Ran Gal, Ariel Shamir and Daniel Cohen-Or

IEEE Transactions on Visualization and Computer Graphics 2007

Application Demo

In this paper we introduce an effective shape signature which is also pose-oblivious. This means that the signature is also insensitive to transformations which change the pose of the 3D shape such as skeletal articulations. Although some topology-based matching methods can be considered pose-oblivious as well, our new signature retains the simplicity and speed of signature indexing. More...
Feature-aware texturing
Ran Gal, Olga Sorkine and Daniel Cohen-Or

Eurographics Symposium on Rendering 2006

 


We present a method for inhomogeneous 2D texture mapping guided by a feature mask, that preserves some regions of the image, such as foreground objects or other prominent parts. The method is able to arbitrarily warp a given image while preserving the shape of its features by constraining their deformation to be a similarity transformation. More...
Non-realistic expressive modeling
Ran Gal, Olga Sorkine, Tiberiu Popa, Alla Sheffer and Daniel Cohen-Or

ACM SIGGRAPH 2006, Technical Sketches

 

The ability of computer graphics to represent images symbolically has so far been used mostly to render existing models with greater clarity or with greater visual appeal. In this work, we present a method aimed at harnessing this symbolic representation power to increase the expressiveness of the 3D models themselves. We achieve this through modification of the actual representation of 3D shapes rather than their images. In particular, we focus on 3D collage creation, namely, a generation of compound representations of objects. More...
Volume and Shape Preservation via Moving Frame Manipulation
Yaron Lipman, David Levin, Ran Gal, and Daniel Cohen-Or

ACM Transactions on Graphics January 2007
This paper introduces a method for mesh editing, aimed at preserving shape and volume. The method is based upon two new developments: The first is a rotation field functional expressing the distance measure between two isometric surfaces. The second is a local volume analysis linking the volume of an object to its boundary curvature. More...
Color Harmonization
Daniel Cohen-Or, Olga Sorkine, Ran Gal, Tommer Leyvand and Ying-Qing Xu

ACM SIGGRAPH 2006
Harmonic colors are sets of colors that are aesthetically pleasing in terms of human visual perception. In this paper, we present a method that enhances the harmony among the colors of a given photograph or of a general image, while remaining faithful, as much as possible, to the original colors.  More...
Salient Geometric Features for Partial Shape Matching and Similarity
Ran Gal and Daniel Cohen-Or

ACM Transactions on Graphics January 2006
We introduces a method for partial matching of surfaces represented by triangular meshes. Our method matches surface regions that are numerically and topologically dissimilar, but approximate similar regions. We introduce novel local surface descriptors which efficiently represent the geometry of local regions of the surface. The descriptors are defined independently of the underlying triangulation, and form a compatible representation that allows matching of surfaces with different triangulations. To cope with the combinatorial complexity of partial matching of large meshes, we introduce the abstraction of salient geometric features and present a method to construct them.  More...
 
 
 

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