Stereo Ranging with verging CamerasThe system descriptionModelVergence mechanismReference FramesThe problemComputing RangePerspective transformation yields the image coordinatesDerivation for ZThe distanceRelationship of parameters to observationIndirect measurementsGetting f and baseline from measurementsConstrain on offsetParameter identificationParameter IdentificationSlide 17Experimental ResultsFigure explanationDistance versus disparityVergence Changes Baseline DistanceThis figure illustrates the case when the center of rotation is not the same as the lens centerStereo Ranging with verging CamerasBased on the paper by E. Krotkov, K.Henriksen and R. KoriesThe system description•Two cameras mounted on a platform can translate horizontally and vertically, and rotate left-right and up-down. Motors mounted on each lens adjust the focal length, focusing distance, and aperture diameter. Further, the two camera can verge by rotating towards each other (converging) or away form each other (diverging). The travel from minimum to maximum vergence angle is approximately 6degrees, covering 90,000motor steps. Potential advantage of vergence include increasing the field of view common to two cameras and constraining the stereo disparity.Model•The lens is modeled as pinhole. The lens centers are separated by a baseline distance b, and both lenses have focal length f. Each camera is associated with a reference frame L and R with origins at the lens center and Z axes coincident with the optic axes positive in the direction fo the scene. We define a Cyclopean reference frame W with origin at the midpoint of the baseline, Z-axes normal to the base line and X axis coincident with the baseline.Vergence mechanismReference FramesThe problemComputing RangePerspective transformation yields the image coordinatesDerivation for ZThe distanceRelationship of parameters to observationIndirect measurementsGetting f and baseline from measurementsConstrain on offsetParameter identificationParameter Identification•Second, we acquire disparity data from the scene viewed with different vergence angles. We servo the vergence motor to N different positions. At each we digitize a stereo pair of images and identify conjugate image points for each of the M objects. The outcome of this procedure is MxN conjugate points below and •the associate vergence motor positions V.),(),,(RRLLvuvuParameter identification•Third we search for the least square values for baseline and the offset.Experimental ResultsFigure explanation•We identify conjugate image points for each of 7 objects.•There were 9 vergence positions. For each vergence position 7 different distant places were measured.•The outcome is 7 x 9 conjugate points and associated vergence motor ositions.Distance versus disparityVergence Changes Baseline DistanceThis figure illustrates the case when the center of rotation is not the same as the lens
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