Parametrization of Humanoid Activity Animations
The goal of this bachelor thesis is to create a tool to parameterize human activity animations using parametric 3D curves and integrate them with IK(Inverse kinematics). The tool should allow flexible modification of the animation trajectories. The idea of the work tool is based on https://studios.disneyresearch.com/2019/10/27/parameterized-animated-activities/
Analysis of Human Activities Using Interactive Segmentation Models
The goal of this bachelor thesis is to use the state of the art Interactive video segmentation models like (MiVOS)[https://hkchengrex.github.io/MiVOS/] to efficiently segment objects and enrich them with further information about the object state.
Hand Pose Estimation Using Multi-View RGB-D Sequences
Hand Object Interaction, Pose Estimation, Deep Learning
In this project the task is to fit a parametric hand mesh model and a set of rigid objects to a sequence of multi-view RGB-D cameras. Existing models for hand key-point detection and 6DoF pose estimation for rigid objects models have significantly evolved in recent years. Our goal is to utilize such models to estimate the hand and object poses.
- Knowledge in computer vision.
- Experience about segmentation models (i.e. Detectron2)
- Experience with deep learning frameworks PyTorch or TensorFlow(2.x).
- Experience with Pytorch3D is a plus.