Marker-less Detection of Virtual Objects using Augmented Reality
Prakhar Kapoor, Usama Ghufran, Manan Gupta, Alok Agarrwal
Available Online April 2013.
- We present marker less camera tracking and user interface methodology for readily inspecting augmented reality (AR) objects in wearable computing applications. Instead of markers, human hand is used as a distinctive pattern that almost all wearable computer users have readily available. We present a robust real-time algorithm that recognizes fingertips to reconstruct the six-degree-of-freedom camera pose relative to the user’s outstretched hand. A hand pose model is constructed in a one time calibration step by measuring the fingertip positions in presence of ground-truth scale information. Through frame-by-fame reconstruction of the camera pose relative to the hand, we stabilize 3D graphics annotations on top of the hand, allowing the user to inspect such virtual objects conveniently from different viewing angles in AR. We evaluate our approach with regard to speed and accuracy and compare it to state-of-art marker based AR systems. We demonstrate the robustness and usefulness of our approach in an example AR application for selecting and inspecting world-stabilized virtual objects.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Prakhar Kapoor AU - Usama Ghufran AU - Manan Gupta AU - Alok Agarrwal PY - 2013/04 DA - 2013/04 TI - Marker-less Detection of Virtual Objects using Augmented Reality BT - Proceedings of the Conference on Advances in Communication and Control Systems-2013 PB - Atlantis Press SP - 554 EP - 559 SN - 1951-6851 UR - https://www.atlantis-press.com/article/6398 ID - Kapoor2013/04 ER -