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Environment perception with cameras is an important requirement for many applications for autonomous vehicles and robots. This work presents a stereoscopic omnidirectional camera system for autonomous vehicles which resolves the problem of a limited field of view and provides a 360° panoramic view of the environment. We present a new projection model for these cameras and show that the camera setup overcomes major drawbacks of traditional perspective cameras in many applications.
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This work presents a new approach for estimating 3D human poses based on monocular camera information only. For this, the Implicit Shape Model is augmented by new voting strategies that allow to localize 2D anatomical landmarks in the image. The actual 3D pose estimation is then formulated as a Particle Swarm Optimization (PSO) where projected 3D pose hypotheses are compared with the generated landmark vote distributions.
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The aim of this work was the development of new image processing methods for the analysis and optimization of rotary kiln processes. It is shown how the newly developed methods can be employed to analyze certain areas and effects of rotary kiln processes. Thereby gained new process information can be used in the process control to optimize rotary kiln processes in terms of economic and environmental objectives.
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