1 citations · 2 across the 6 of their papers we have counts for
7 papers
Accurate and Interpretable Solution of the Inverse Rig for Realistic Blendshape Models with Quadratic Corrective Terms
Stevo Racković, Cláudia Soares, Dušan Jakovetić +1
We propose a new model-based algorithm solving the inverse rig problem in facial animation retargeting, exhibiting higher accuracy of the fit and sparser, more interpretable weight…
High-fidelity Interpretable Inverse Rig: An Accurate and Sparse Solution Optimizing the Quartic Blendshape Model
Stevo Racković, Cláudia Soares, Dušan Jakovetić +1
We propose a method to fit arbitrarily accurate blendshape rig models by solving the inverse rig problem in realistic human face animation. The method considers blendshape models w…
A Majorization-Minimization Based Method for Nonconvex Inverse Rig Problems in Facial Animation: Algorithm Derivation
Stevo Racković, Cláudia Soares, Dušan Jakovetić +1
Automated methods for facial animation are a necessary tool in the modern industry since the standard blendshape head models consist of hundreds of controllers and a manual approac…
Group pattern detection of longitudinal data using functional statistics
Rongjiao Ji, Alessandra Micheletti, Nataša Krklec Jerinkić +1
Estimations and evaluations of the main patterns of time series data in groups benefit large amounts of applications in various fields. Different from the classical auto-correlatio…
Clustering of the Blendshape Facial Model
Stevo Racković, Cláudia Soares, Dušan Jakovetić +2
Digital human animation relies on high-quality 3D models of the human face -- rigs. A face rig must be accurate and, at the same time, fast to compute. One of the most common riggi…
Accurate, Interpretable, and Fast Animation: An Iterative, Sparse, and Nonconvex Approach
Stevo Rackovic, Claudia Soares, Dusan Jakovetic +1
Digital human animation relies on high-quality 3D models of the human face: rigs. A face rig must be accurate and, at the same time, fast to compute. One of the most common rigging…
Emotion pattern detection on facial videos using functional statistics
Rongjiao Ji, Alessandra Micheletti, Natasa Krklec Jerinkic +1
There is an increasing scientific interest in automatically analysing and understanding human behavior, with particular reference to the evolution of facial expressions and the rec…