Critical Issues of current 3D images
3D middle/long-range shooting, especially over 10m, may be Really incomplete 3D, troublesome and complicated task?

■Less attractive 3D contents in long-distance scenes
To avoid extreme parallax and negative checks about safety , the shorter interaxial distance (base-line) of shooting, the more loss of 3D effects.

■Due to geometric distortion, eyes are prone to be strained
Manual mechanical rig, especially in a long distance, the vertical and keystone distortion is a frequent cause of incomplete 3D images and eyes strain.

■Need long time for 3D shooting and extreme high cost
・Require specialists called a stereographer.
・Take long time a proper calculation of shooting distance and rig adjustment based on experience.
・High-cost of large-scaled equipments and manpower expenses as for 3D shooting.

■Optimum Interaxial Distance Model
we developed optimum interaxial distance(IAD) model to calculate best IAD  automatically which can get optimum 3D against target and satisfy safety guide(within 3%) concurrently. Its model can generate complete 3D scenes of long-distance objects without cardboard effect by automated-adjustment of IAD.

■Standard Vergence Model
As standard vergence model keeps relative position of space correctly like human eye, it is possible to control alignment justly and convergence between camera with consistency.

■Bionics & Binocular Control Model

Human eyes have their own cooperative movements;
Binocular cooperative movements, Saccade, Smooth pursuit, vestibulo-ocular reflex(VOR), Cervico-ocular reflex(COR).
With this binocular motor model based on the human neural pathways, we implemented an unique 3D shooting system close to human binocular system.

Chief Technology Officer: Xiaolin ZHANG 
Based on “vision feedback control system of industrial robot Research” in Yokohama National University from 1987 to 1995, “Eye movement control system model based on physiological and anatomical structure Research” was conducted in Tokyo Medical Dental University from 1995 to 2003. At present, associate professor of vision physiology & imaging mechanics in precision and intelligence laboratory ,Tokyo institute of technology. Since he has got JST startup promotion program fund, he has developed “3D vision technology development using active binocular cameras” based on his 23 year research achievement since Yokohama National University.  Bi2-Vision Co., Ltd. was founded in August 2009 as a Tokyo institute of technology launched venture company.  Currently Chief Technology Officer of Bi2-Vision Co., Ltd. Regular membership of 3D consortium.




Parallel 3D Rig with automatic adjustment of relational optical axes, optimal interaxial distance and parallax adjustment according to zoom position.

■7 mode active stereoscopic camera Rig (7 mode means pan, tilt, convergence x 2 cameras and interaxial distance )
■Unnecessary precise calibration of optical axes
■Automatic interaxial distance(IAD) / parallax adjustment
(Create of natural angle effective 3D scenes using automatic control of proper IAD and parallax upon zoom movement)
■L,R cameras synchronized operation ■Display edge differences of left and right images
■Display scale bar to check parallax area and image distortion






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