Generation of Temporally Consistent Depth Maps Using Nosie Removal from Video
نویسندگان
چکیده
This paper presents a novel approach for providing depth maps that are temporally consistent. Temporal consistency is attained by noise removal from video. Presented approach was evaluated with use of a simple noise reduction technique and state-of-the-are depth estimation algorithm. Experiments on standard multi-view test video sequences have been performed and yielded both subjective and objective results. These results provide evidence that the proposed approach increase temporal consistency of estimated
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Estimation of temporally consistent depth maps using noise removal from video
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