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1 Robotic implementation of gaze control and image stabilization (FCT-UC) Simple probabilistic optical flow algorithm: population code-type data structure storing two- dimensional pdfs on the image velocity space Du, Dv as an output. Primarily based on Zelek's adaptation of the block matching (correlation) algorithm. Bayesian program for processing of inertial data: Bayesian model of the human vestibular system [Laurens and Droulez(2006)] adapted to the use of inertial sensors estimate the current angular position and angular velocity mimicking human vestibular perception Probabilistic Block Matching Optical Flow current version new version under construction Integrated Multimodal Perception Experimental Platform (IMPEP)

Robotic implementation of gaze control and image stabilization (FCT-UC)

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Robotic implementation of gaze control and image stabilization (FCT-UC). Probabilistic Block Matching Optical Flow. Integrated Multimodal Perception Experimental Platform (IMPEP). S imple probabilistic optical flow algorithm: - PowerPoint PPT Presentation

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Page 1: Robotic implementation of gaze control and image stabilization (FCT-UC)

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Robotic implementation of gaze control

and image stabilization (FCT-UC)

• Simple probabilistic optical flow algorithm: population code-type data structure storing two-

dimensional pdfs on the image velocity space Du, Dv as an output.

Primarily based on Zelek's adaptation of the block matching (correlation) algorithm.

• Bayesian program for processing of inertial data: Bayesian model of the human vestibular system [Laurens

and Droulez(2006)] adapted to the use of inertial sensors estimate the current angular position and angular velocity mimicking human vestibular perception

Probabilistic Block Matching Optical Flow

current version

new versionunder construction

Integrated MultimodalPerception ExperimentalPlatform (IMPEP)