Recycling a Landmark Dataset for Real-time Face Tracking with Low Cost HMD Integrated Cameras
Fast Handovers with a Robot Character: Small Sensorimotor Delays Improve Perceived Qualities
We present a system for fast and robust handovers with a robot character, together with a user study investigating the effect of robot speed and reaction time on perceived interaction quality. The system can match and exceed human speeds and confirms that users prefer human-level timing.
Light Field Video Synthesis Using Inexpensive Surveillance Camera Systems
We present a light field video synthesis technique that can achieve accurate reconstruction given a low-cost, widebaseline camera rig. Our system called, INDiuM, novelly integrates optical flow with methods for rectification, disparity estimation, and feature extraction, which we then feed to a neural network view synthesis solver with widebaseline capability. A new bi-directional warping approach resolves reprojection ambiguities that would result from either backward or forward warping only. The system and method enables the use of off-the-shelf surveillance camera hardware in a simplified and expedited capture workflow. A thorough analysis of the refinement process and resulting view synthesis accuracy over state of the art is provided.
Smile Intensity Detection in Multiparty Interaction using Deep Learning
Emotion expression recognition is an important aspect for enabling decision making in autonomous agents and systems designed to interact with humans. In this paper, we present our experience in developing a software component for smile intensity detection for multiparty interaction. First, the deep learning architecture and training process is described in detail. This is followed by analysis of the results obtained from testing the trained network. Finally, we outline the steps taken to implement and visualize this network in a real-time software component.
Seamless Multi-Projection Revisited
The paper describes the overall workflow and detailed algorithm of each component, followed by an evaluation validating the proposed method.
On Regularized Losses for Weakly-supervised CNN Segmentation
This paper proposes and experimentally compares different losses integrating MRF/CRF regularization terms.
An Omnistereoscopic Video Pipeline for Capture and Display of Real-World VR
In this paper, we describe a complete pipeline for the capture and display of real-world Virtual Reality video content, based on the concept of omnistereoscopic panoramas.
A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation
We propose a novel neural network architecture for point cloud classification.
PhaseNet for Video Frame Interpolation
We propose a new approach, PhaseNet, that is designed to robustly handle challenging scenarios while also coping with larger motion.
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