Virtual Surgery, Applications and Limitations

Kolivand, Hoshang; Tomi, Bazli; Zamri, Najib; Sunar, Mohd Shahrizal

doi:10.1007/978-981-287-540-2_8

Cited by 5 publications

(2 citation statements)

References 120 publications

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“…Shadows help realise the relative distance of objects in a scene not only for stratified real world, e.g., underground [7] but also for virtual environments such as virtual molecula [8], virtual surgery [9], virtual hydrological environments [10] and virtual city [11, 12]. Shadows also help reveal the complexity of objects.…”

Section: Related Workmentioning

confidence: 99%

LivePhantom: Retrieving Virtual World Light Data to Real Environments

2016

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To achieve realistic Augmented Reality (AR), shadows play an important role in creating a 3D impression of a scene. Casting virtual shadows on real and virtual objects is one of the topics of research being conducted in this area. In this paper, we propose a new method for creating complex AR indoor scenes using real time depth detection to exert virtual shadows on virtual and real environments. A Kinect camera was used to produce a depth map for the physical scene mixing into a single real-time transparent tacit surface. Once this is created, the camera’s position can be tracked from the reconstructed 3D scene. Real objects are represented by virtual object phantoms in the AR scene enabling users holding a webcam and a standard Kinect camera to capture and reconstruct environments simultaneously. The tracking capability of the algorithm is shown and the findings are assessed drawing upon qualitative and quantitative methods making comparisons with previous AR phantom generation applications. The results demonstrate the robustness of the technique for realistic indoor rendering in AR systems.

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Section: Related Workmentioning

confidence: 99%

LivePhantom: Retrieving Virtual World Light Data to Real Environments

2016

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“…Virtual Reality (VR) is used for training in medical emergency situations [1], mechanical assembly [2,3] and military preparation [4] due to its low cost, rapid setup time, safety and capability to repeat and track users' tasks. These tasks involve a series of actions to be performed, for example, walking around an area while moving objects from one place to another.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Object Grasp Technique for Placement of Objects in Virtual Reality

et al. 2022

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Some daily tasks involve grasping multiple objects in one hand and releasing them in a determined order, for example laying out a surgical table or distributing items on shelves. For training these tasks in Virtual Reality (VR), there is no technique for allowing users to grasp multiple objects in one hand in a realistic way, and it is not known if such a technique would benefit user experience. Here, we design a multi-object grasp technique that enables users to grasp multiple objects in one hand and release them in a controlled way. We tested an object placement task under three conditions: real life, VR with single-object grasp and VR with multi-object grasp. Task completion time, distance travelled by the hands and subjective experience were measured in three scenarios: sitting in front of a desktop table, standing up in front of shelves and a room-size scenario where walking was required. Results show that the performance in a real environment is better than in Virtual Reality, both for single-object and multi-object grasping. The single-object technique performs better than the multi-object, except for the room scenario, where multi-object leads to less distance travelled and reported physical demand. For use cases where the distances are small (i.e., desktop scenario), single-object grasp is simpler and easier to understand. For larger scenarios, the multi-object grasp technique represents a good option that can be considered by other application designers.

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