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Aims. The Euclid space telescope will measure the shapes and redshifts of galaxies to reconstruct the expansion history of the Universe and the growth of cosmic structures. The estimation of the expected performance of the experiment, in terms of predicted ...

This thesis proposes novel ways both to represent the static surfaces, and to parameterize their deformations. This can be used both by automated algorithms for efficient 3–D shape reconstruction, and by graphics designers for editing and animation. Deform ...

Deformable 3--D models are used extensively in Computer Graphics and Computer Vision for Visualization, Animation and Modeling. They can be represented either as traditional explicit surfaces, such as triangulated meshes, or as implicit surfaces. Explicit surface representations are widely accepted because they are simple to deform and render. However, for fitting purposes, they suffer from the fact that using them typically involves minimizing a non-differentiable distance function. By contrast, implicit s

Using silhouettes in uncontrolled environments typically requires handling occlusions as well as changing or cluttered backgrounds, which limits the applicability of most silhouette based methods. For the purpose of 3--D shape modeling, we show that repres ...

In this paper, we propose a face reconstruction technique that produces models that not only look good when texture mapped, but are also metrically accurate. Our method is designed to work with short uncalibrated video or movie sequences, even when the lighting is poor resulting in specularities and shadows that complicate the algorithm's task. Our approach relies on optimizing the shape parameters of a sophisticated PCA based model given pairwise image correspondences as input. All that is required is enou

This paper advocates an implicit-surface representation of generic 3--D surfaces to take advantage of occluding edges in a very robust way. This lets us exploit silhouette constraints in uncontrolled environments that may involve occlusions and changing or cluttered backgrounds, which limit the applicability of most silhouette based methods. This desirable behavior is completely independent from the way the surface deformations are parametrized. To show this, we demonstrate our technique in three very diffe

3--D detection and shape recovery of a non-rigid surface from video sequences require deformation models to effectively take advantage of potentially noisy image data. Here we introduce an approach to creating such models for deformable 3--D surfaces. We e ...

e propose a deformable surface parameterization that is generic and lets us automatically build registered shape databases. This allows us to directly derive low-dimensional shape models using a simple dimensionality reduction technique. This addresses one of the biggest difficulties in example-based shape modeling: Building the required database, which is often a difficult and painstaking process. We incorporate the resulting models into a monocular tracking system that we use to capture the complex deform

We present a method for real-time 3D object instance detection that does not require a time-consuming training stage, and can handle untextured objects. At its core, our approach is a novel image representation for template matching designed to be robust t ...

Multiple human 3D pose estimation from multiple camera views is a challenging task in unconstrained environments. Each individual has to be matched across each view and then the body pose has to be estimated. Additionally, the body pose of every individual ...

Multiple human pose estimation is an important yet challenging problem. In an Operating Room (OR) environment, the 3D body poses of surgeons and medical staff can provide important clues for surgical workflow analysis. For that purpose, we propose an algor ...

Slobodan Ilic

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Euclid preparation: VII. Forecast validation for Euclid cosmological probes

Implicit meshes : unifying implicit and explicit surface representations for 3D reconstruction and tracking

Implicit Meshes for Surface Reconstruction

Implicit Meshes for Effective Silhouette Handling

Accurate Face Models from Uncalibrated and Ill-Lit Video Sequences

Implicit Meshes Make for Better Silhouettes

Implicit Meshes for Surface Reconstruction

Surface Deformation Models for Non-Rigid 3--D Shape Recovery

Parameterizing Deformable Surfaces for Monocular 3--D Tracking

Gradient Response Maps for Real-Time Detection of Textureless Objects

Multiple Human Pose Estimation with Temporally Consistent 3D Pictorial Structures

Physically Valid Shape Parameterization for Monocular 3-D Deformable Surface Tracking

Implicit Surfaces Make for Better Silhouettes

Parsing human skeletons in an operating room

From Explicit to Implicit Surfaces for Visualization, Animation and Modeling

Accurate Face Models from Uncalibrated and Ill-Lit Video Sequences

Generic Deformable Implicit Mesh Models for Automated Reconstruction

Using Dirichlet Free Form Deformation to Fit Deformable Models to Noisy 3-D Data

Implicit Meshes for Modeling and Reconstruction