IDCam: Precise Item Identification for AR Enhanced Object Interactions

Author(s):  
Hanchuan Li ◽  
Eric Whitmire ◽  
Alex Mariakakis ◽  
Victor Chan ◽  
Alanson P. Sample ◽  
...  
Keyword(s):  
2021 ◽  
Vol 40 (3) ◽  
pp. 1-12
Author(s):  
Hao Zhang ◽  
Yuxiao Zhou ◽  
Yifei Tian ◽  
Jun-Hai Yong ◽  
Feng Xu

Reconstructing hand-object interactions is a challenging task due to strong occlusions and complex motions. This article proposes a real-time system that uses a single depth stream to simultaneously reconstruct hand poses, object shape, and rigid/non-rigid motions. To achieve this, we first train a joint learning network to segment the hand and object in a depth image, and to predict the 3D keypoints of the hand. With most layers shared by the two tasks, computation cost is saved for the real-time performance. A hybrid dataset is constructed here to train the network with real data (to learn real-world distributions) and synthetic data (to cover variations of objects, motions, and viewpoints). Next, the depth of the two targets and the keypoints are used in a uniform optimization to reconstruct the interacting motions. Benefitting from a novel tangential contact constraint, the system not only solves the remaining ambiguities but also keeps the real-time performance. Experiments show that our system handles different hand and object shapes, various interactive motions, and moving cameras.


2004 ◽  
pp. 91-157
Author(s):  
Jacquie Barker ◽  
Grant Palmer
Keyword(s):  

1993 ◽  
pp. 157-176 ◽  
Author(s):  
Mauro Figueiredo ◽  
Klaus Böhm ◽  
José Teixeira

Author(s):  
Jiwa Abdullah ◽  
Nayef Abdulwahab Alduais

Within the last 20 years, wireless communication and network has been one of the fastest-growing research areas. Significant progress has been made in the fields of mobile ad hoc network (MANET) and wireless sensor networks (WSN). Very recently, the cyber-physical system (CPS) has emerged as a promising direction to enrich human-to-human, human to-object, and object-to-object interactions in the physical world as well as in the virtual world. The possibilities are enormous, such that CPS would adopt, and even nurture, the areas of MANET and WSN because more sensor inputs and richer network connectivity are required. The chapter reviews what has been developed in these fields, outlines the projection of what may happen in the field of CPS, and identifies further works. The authors identify the unique features of WSN, raising some CPS critical examples, and then directing the future challenges of CPS. In order to fully comprehend the connection of WSN to CPS, the authors provide some preliminaries of WSN and establish their necessary connections.


2019 ◽  
Vol 38 (2) ◽  
pp. 367-378 ◽  
Author(s):  
He Wang ◽  
Sören Pirk ◽  
Ersin Yumer ◽  
Vladimir G. Kim ◽  
Ozan Sener ◽  
...  

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