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ii Abstract A long standing goal in image-based modeling and rendering is to capture a scene from camera images and construct a sufficient model to allow photo-realistic rendering of new views. With the confluence of computer graphics and vision, the combination of research on recovering geometric structure from un-calibrated cameras with modeling and(More)
The problem of capturing real world scenes and then accurately rendering them is particularly difficult for fine-scale 3D structure. Similarly, it is difficult to capture, model and animate non-rigid motion. We present a method where small image changes are captured as a time varying (dynamic) texture. In particular, a coarse geometry is obtained from a(More)
— In tele-robotics delayed visual feedback to the human operator can degrade task performance significantly. To improve this, predictive display, uses a scene model to estimate and render immediate visual feedback based on the operator's control commands. Traditional predictive display involves the calibration and overlay of an a-priori model with the(More)
We present a method that using only an uncalibrated camera allows the capture of object geometry and appearance , and then at a later stage registration and AR overlay into a new scene. Using only image information first a coarse object geometry is obtained using structure-from-motion, then a dynamic, view dependent texture is estimated to account for the(More)
With recent improvements in consumer graphics hardware, image-based rendering in real-time is possible by modulating (blending) a large basis of transparent textures. We make efficient use of this by developing a two stage model, where a high quality rendering is achieved by combining an approximate geometric model with a time varying dynamic texture(More)
— In tele-manipulation, delays as small as a few tenths of a second can affect performance. Robot operators dissociate their control actions with what they see on delayed video and have to adopt slow move-and-wait strategies or may completely fail to perform high precision tasks. Predictive Display (PD) mitigates this problem by rendering visual feedback(More)