Search Results for author: Ammar Qammaz

Found 2 papers, 0 papers with code

On the Feasibility of Real-Time 3D Hand Tracking using Edge GPGPU Acceleration

no code implementations30 Apr 2018 Ammar Qammaz, Sokol Kosta, Nikolaos Kyriazis, Antonis Argyros

This paper presents the case study of a non-intrusive porting of a monolithic C++ library for real-time 3D hand tracking, to the domain of edge-based computation.

Towards Force Sensing From Vision: Observing Hand-Object Interactions to Infer Manipulation Forces

no code implementations CVPR 2015 Tu-Hoa Pham, Abderrahmane Kheddar, Ammar Qammaz, Antonis A. Argyros

We present a novel, non-intrusive approach for estimating contact forces during hand-object interactions relying solely on visual input provided by a single RGB-D camera.

Visual Tracking

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