6DOF pose estimation using 2D-3D sensor fusion

Shin, Yong-Deuk; Park, Jae‐Han; Baeg, Moon-Hong

doi:10.1109/coase.2012.6386413

Cited by 4 publications

(1 citation statement)

References 15 publications

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“…Luckily, there are interesting comparative studies on some of the best-known algorithms [20] . Other markerless methods use information from sensors such as GPS, depth cameras or ultrasonic, magnetic and inertial devices (or some combination of them) to estimate the spatial position and orien-tation of objects [21,22,23] . Another important problem to solve is the visualization of the virtual objects within the real world.…”

Section: Introductionmentioning

confidence: 99%

Intuitive Slice-based Exploration of Volumetric Medical Data

Ocegueda-Hernández

Mendizabal-Ruiz

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Medical imaging technologies have become an essential component in different areas related to health care. Volume visualization (VV) of medical data is an invaluable support in tasks such as clinical diagnosis, treatment planning, surgery rehearsal, education, and research. Several algorithms and systems have been developed to enable the visualization and interaction with volumetric data. Slice-based visualization methods dominate the field of medical volumes scanning since they allow more detailed analysis of the data. However, an intensive training is usually required for the user to be able to effectively explore the data. In this paper, we present novel a slice-based methodology which objective is to facilitate the exploration of medical volumetric data. The proposed method consist of the use of augmented reality principles to determine the spatial position and orientation of rigid planar objects within a defined space in the real-world which represents the medical volumetric information. The results obtained by a usability study indicate the feasibility of employing this technique for a natural human-computer interaction with the medical data, having the potential of making the process of medical volume exploration more easy and intuitive.

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