Tommi Tykkala

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In RGB-D sensor based visual odometry the goal is to estimate a sequence of camera movements using image and/or range measurements. Direct methods solve the problem by minimizing intensity error. In this work a depth map obtained from a RGB-D sensor is considered as a new measurement which is combined with a direct photometric cost function. The(More)
In this work, a real-time image-based camera tracker is designed for live television production studios. The major concern is to decrease camera tracking expenses by an affordable vision-based approach. First, a dense keyframe model of the static studio scene is generated using image-based dense tracking and bundle adjustment. Online camera tracking is then(More)
— In this work, a RGB-D input stream is utilized for GPU-boosted 3D reconstruction of textured indoor environments. The goal is to develop a process which produces standard 3D models from indoors to explore them virtually. Camera motion is tracked in 3D space by registering the current view with a reference view. Depending on the trajectory shape, the(More)
In this work, a real-time image-based camera tracking solution is developed for television broadcasting studio environments. An affordable vision-based system is proposed which can compete with expensive matchmov-ing systems. The system requires merely commodity hardware: a low cost RGB-D sensor and a standard laptop. The main contribution is avoiding(More)
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