What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Computer vision
- Geometry
Her main research concerns Polygon mesh, Topology, Surface, Laplacian smoothing and Algorithm.
The study incorporates disciplines such as Volume mesh, Theoretical computer science, Laplacian matrix and Position in addition to Polygon mesh.
The concepts of her Topology study are interwoven with issues in Rigid transformation and Invariant.
Her study focuses on the intersection of Rigid transformation and fields such as Scaling with connections in the field of Laplace operator.
Her work deals with themes such as Computer graphics and Rigidity, which intersect with Surface.
Her study in the field of Computational geometry is also linked to topics like Surface deformation.
Her most cited work include:
- Laplacian surface editing (871 citations)
- As-rigid-as-possible surface modeling (661 citations)
- On Linear Variational Surface Deformation Methods (475 citations)
What are the main themes of her work throughout her whole career to date?
Olga Sorkine mostly deals with Polygon mesh, Artificial intelligence, Computer vision, Algorithm and Topology.
Her Polygon mesh study combines topics from a wide range of disciplines, such as Theoretical computer science, Geometric modeling, Mesh generation, Surface and Computational geometry.
Her Computer vision research is multidisciplinary, relying on both Sketch and Computer graphics.
She interconnects Linear system and Mathematical optimization in the investigation of issues within Algorithm.
Her studies in Linear system integrate themes in fields like Rigid transformation, Orthogonal coordinates and Invariant.
Her Topology research includes themes of Smoothing, Laplacian smoothing, Quantization, Cartesian coordinate system and Laplace operator.
She most often published in these fields:
- Polygon mesh (32.76%)
- Artificial intelligence (31.03%)
- Computer vision (31.03%)
What were the highlights of her more recent work (between 2010-2012)?
- Artificial intelligence (31.03%)
- Computer vision (31.03%)
- Image warping (12.07%)
In recent papers she was focusing on the following fields of study:
Olga Sorkine spends much of her time researching Artificial intelligence, Computer vision, Image warping, Polygon mesh and Retargeting.
The Lucas–Kanade method and Image resolution research Olga Sorkine does as part of her general Artificial intelligence study is frequently linked to other disciplines of science, such as Elastic energy and Elasticity, therefore creating a link between diverse domains of science.
Her study in the fields of Feature based and Video tracking under the domain of Computer vision overlaps with other disciplines such as Scalability and Frame.
Her Polygon mesh research includes elements of Parametrization, Algorithm, Surface and Geometric modeling.
Biharmonic equation, Laplace operator, Simple, Scalar and Constant is closely connected to Topology in her research, which is encompassed under the umbrella topic of Parametrization.
Her studies deal with areas such as Structure, Curvature and Degrees of freedom as well as Algorithm.
Between 2010 and 2012, her most popular works were:
- Bounded biharmonic weights for real-time deformation (250 citations)
- Fast automatic skinning transformations (100 citations)
- Elasticity-inspired deformers for character articulation (80 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Geometry
Olga Sorkine mainly investigates Computer vision, Artificial intelligence, Skinning, Image warping and Algorithm.
In the field of Computer vision, her study on Saliency map, Seam carving and Retargeting overlaps with subjects such as Overhead.
Olga Sorkine does research in Artificial intelligence, focusing on Image resolution specifically.
Skinning combines with fields such as Elastic energy, Elasticity, Rest, Structure and Degrees of freedom in her work.
Her Image warping research incorporates themes from Salient, Rendering, Image-based modeling and rendering, Interpolation and Silhouette.
Her study in Algorithm is interdisciplinary in nature, drawing from both Object, Animation, Computer graphics and Vector graphics.
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