You are cordially invited to attend our CG Colloquium on Thursday, March 12th, 2020, 15:45-17:45h, Lecture Hall D@ta (Building 36)

The program features the following two speakers:

Prerak Mody

Title: 3D Human Pose Estimation Using a Top-view Depth Camera

Abstract: Delirium is a cause of concern within the health industry due to many postsurgery patients succumbing to this mental disease which disturbs their path to a full recovery. To understand and detect the onset of delirium within hospital ICU rooms, a depth camera (Microsoft Kinect) is attached to the ceiling. This depth data preserves privacy but also provides an opportunity to analyze the interactions taking place between the various stakeholders such as patient, hospital staff and visiting family. This project is being done at Philips Research, Eindhoven where my task is to extract the 3D human pose of individuals in the rooms. To this end, I extract the 3D point cloud data and run a supervised learning technique (i.e. 3D Convolutional Neural Network) to extract human pose. Having established a baseline, I am now investigating unsupervised and semi-supervised techniques to reduce the data and data annotation requirements respectively.

Thomas Saulou

Title: Photoshop for dummies : Energy-based image modification for photography composition

Abstract: Cameras have almost reached the limits in terms of hardware and optics, computational methods are now the major way to improve a photograph. However, too few tools are developed to enhance image composition. In this project, we introduce new methods based on photography rules to help photographers to modify the picture’s composition. We present a general approach to image deformation based on the energy, and applications of this approach to the problems of photography composition. Our method is inspired from works found in the prior art. The key advantage of our operator is the content-aware deformation function, which optimizes the location of the pixels modification. The operator has been developed to change lines composition in photographs.