Open Thesis

Ongoing Thesis

Bachelorarbeiten

Parametrization of Humanoid Activity Animations

Beschreibung

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/

Kontakt

marsil.zakour@tum.de

Betreuer:

Marsil Zakour

Analysis of Human Activities Using Interactive Segmentation Models

Beschreibung

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.

Kontakt

marsil.zakour@tum.de

Betreuer:

Marsil Zakour

Masterarbeiten

Hand Pose Estimation Using Multi-View RGB-D Sequences

Stichworte:
Hand Object Interaction, Pose Estimation, Deep Learning

Beschreibung

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.

Related Work

  1. https://dex-ycb.github.io/
  2. https://www.tugraz.at/institute/icg/research/team-lepetit/research-projects/hand-object-3d-pose-annotation/
  3. https://github.com/hassony2/obman
  4. https://github.com/ylabbe/cosypose

Voraussetzungen

  • 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.

Kontakt

marsil.zakour@tum.de

Betreuer:

Marsil Zakour