Recovering Euclidean Deformable Models from Stereo-motion

A stereo-motion approach able to infer 3D nonrigid models from uncalibrated stereo images. The stereo setup dramatically improves the 3D model estimation when the observed 3D shape is mostly deforming without undergoing strong rigid motion. In collaboration with Xavier Llado and Lourdes Agapito.

A model of brightness variations due to illumination changes and non-rigid
motion using spherical harmonics

BMVC2008: Pixel brightness variations in an image sequence depend both on the objects surface reflectance and on the motion of the camera and object. In such context, we propose a new model able to describe image variations in terms of deformation and luminance changes. This model describes brightness variations with two independent components represented as linear basis shapes. Lighting influence is represented in terms of Spherical Harmonics and non-rigid motion as a linear
model which represents image coordinates displacement. In collaboration with PCR.

A Factorization Approach to Structure from Motion with Shape Priors

CVPR2008: An approach for including 3D prior models into a factorization framework for structure from motion. The proposed method computes a closed-form affine fit which mixes the information from the data and the 3D prior on the shape structure. Here you can find a description of the approach.

Non-rigid Factorization

Lukas sequence
Non-rigid Stereo-motion

Missing data

Tracking Points on Deformable Objects with Ranklets

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