Photogrammetric Computer Vision
PCVLab and its collaborators at UC Berkeley, MIT and NASA Glenn Research Center develop an astronaut navigation system for landed space missions. The system is consisted of multiple integrated sensors, including a stereo camera, IMU and step sensor, to precisely locate an astronaut and navigate him/her to a target science experiment site
With the support of Center for Surveilance, contortium of National Science Foundation, Airforce Research Labs and the Industry, PCVLab develops a Photogrametry suite to recover 3D scene from an aerial multihead camera-mount. The camera mount is consisted of 6 cameras with minimal overlapping fields of view.
Given multiple images per epoch, our system generates a virtual camera view by generating a mosaic. The matching features accross each mosaic is utilized to generate a sparse 3D model by a bundle adjustment process. This step is followed by a dense 3D recovery which takes appearance similarities and sparse 3D into account.