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Dynamic Surface Motion Capture (4D)

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For those who have harnessed the anatomical precision of 3D surface imaging, 3dMD now offers the latest generation in “Sequential 3D Surface Imaging” (4D/dynamic) to support a quantifiable understanding of true anatomical movement and function.

Acquiring precise 3D surface information at 60 frames per second from multiple synchronized viewpoints, 3dMDdynamic (4D) Systems are already in use pioneering new research in the areas of human performance, biomechanical behavior, and human factors. The latest customer initiatives are focused on dynamically assessing functional outcomes, monitoring patient progress, and advancing simulation models to replicate facial expressions and functional behavior for patients undergoing dental treatment and surgical intervention. In particular, assessment of facial function in conjunction with natural head movement is facilitated by the new, three-viewpoint 3dMDtrio Dynamic System.

As an anatomical shape-based capture alternative to traditional digital recording equipment and marker-based motion capture systems (mo-cap), the 3dMDdynamic System tracks the deformation of the entire surface continuously frame-by-frame to achieve unsurpassed precision in understanding and tracking movements. In contrast to motion capture system, the 3dMDdynamic System eliminates the need to manually place individual mo-cap markers on a subject’s skin and the issues associated with markers that move or become displaced. For more sophisticated facial capture applications the physical distance between markers can fail to adequately record subtle surface change details which are highly relevant to the fundamental shape understanding. For example, highly precise surface deformation information is invaluable when clinicians are striving to achieve natural facial expressions when treating patients with various conditions such as cleft lip and palate.

Based on customer feedback, the latest 3dMDdynamic technology incorporates a non-intrusive lighting system ensuring subject comfort, while eliminating distraction stimuli. With the continued ability to provide a unified point cloud data set for each capture regardless of the number of stereo viewpoints, the 3dMDdynamic System Series can now be scaled from one to 20 simultaneous viewpoints.

3dMDdynamic/4D Specification:

  • Coverage: 180-degree face capture (ear-to-ear/2 or 3 viewpoints) allowing for head movement
  • Capture speed: 60 3D frames per second for up to a 10 minutes capture cycle at highest resolution
  • Geometry Generation per 3D frame: One continuous point cloud produced from the two or more stereo camera viewpoints, eliminating  data errors associated with merging/stitching data sets together
  • Server based multiprocessor rendering
  • Frame display software (basic 3D movie) and surface tracking
  • Body and limb capture configurations available up to 20 stereo viewpoints

3dMD built its first dynamic system prototype in 1998 and filed new patents in the areas of real-time surface tracking in 2001.  The first production 3dMDface Dynamic (4D) System was installed in 2005. Today numerous papers have been published by 3dMD customers showing how 3dMD’s dynamic technology has moved their innovative research initiatives forward.

STTR Grant awarded to 3dMD in conjunction with the UNC at Chapel Hill.

At 3dMD, we ARE high-precision 3D surface imaging and application for living, breathing human subjects. With a proven track record of more than 1,200 3D cameras globally, 3dMD is 100-percent focused on a customer community that requires superior data integrity for their
3D applications in medical, dental, biometrics, engineering, and research.

3dMD Customer Research

Biomedical visual data analysis to build an intelligent diagnostic decision support system in medical genetics. Kaya Kuru, Mahesan Niranjan, Yusuf Tunca, Erhan Osvank, Tayyaba Azim.

Article: Biomedical visual data analysis to build an intelligent diagnostic decision support system … More >

Learning to Rank the Severity of Unrepaired Cleft Lip Nasal Deformity on 3D Mesh Data. J Wu, R Tse, LG Shapiro.

Article: Learning to Rank the Severity of Unrepaired Cleft Lip Nasal Deformity on 3D Mesh … More >

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