立體影片自動同步校準與左右視差調整

近年來已有不少科技先進的國家，針對立體影像的顯示技術進行研究並投入開發，由於三度空間的立體顯示較二維平面的顯示有更接近實體的視覺效果，因此，能夠呈現立體影像的顯示技術將來會被人們所需要，其應用也會更加廣泛，製作步驟也會朝快速簡單化發展。本論文解決過去傳統大螢幕之立體電影需仰賴後製數位剪輯的方式，利用構成演算方式與影像規範特性將其運用於3D立體撥放系統上進行雙眼視差調整與同步設定讓觀賞者觀看立體電影。故本研究發展一套應用於雙影片自動調整立體視差重構演算法，利用攝影機模擬雙眼視覺拍攝左右眼影片，由左右眼影片的編碼特徵點、左右眼影片同步互相參考特性，研究發展自動立體視差重構演算法來取代過去傳統人工觀看進行調整視差角度與調整同步撥放的模式。自動視差重構演算法提供快速的視差對位調整，並結合雙投影立體投影系統，讓使用者透過立體眼鏡即時觀看立體影片。

關鍵字

影像處理；立體視覺；立體攝影；立體成像

並列摘要

Many technologically advanced countries in recent years, for three-dimensional image display technology and invest in developing three-dimensional stereoscopic display compared with the two-dimensional display of visual effects closer to the entity and, therefore, be able to show three-dimensional image display technology will be needed, its application will become more widely used, production steps will be directed towards rapid simplify development. This paper to solve the past the traditional big-screen three-dimensional film post-production digital clip, the use of algorithm methods and imaging characteristics used in the 3D stereo playback system binocular disparity adjustment and synchronized set of three-dimensional film. In this study, the development of three-dimensional automatic adjustment and reconstruction algorithms, the use of camera analog eyes shooting about film, synchronization reference from the left and right encoding of the film, about the film, the study's automatic three-dimensional algorithm to replace the manual to adjust parallax adjustment synchronization. Provide fast parallax adjustment, combined with three-dimensional projection system allows users to instantly watch 3D movie through stereo glasses.

並列關鍵字

image processing ； stereo vision ； stereo photography ； stereo image

參考文獻

1.H. Sakata, K. I. Tsutsui, M. Taira, “Representation of the 3D world in art and in the brain, ”International Congress Series 1250 (2003).

2.V. Walsh, J. Kulikowski, “Perceptual Constancy: Why Things Look as They Do, ” Cambridge University Press 1998.

3.ITU-R Recommendation BT.500-10, “Methodology for the subjective assessment of the quality of television pictures, ” ITU, Geneva, Switzerland, 2000.

4.D. G. Lowe, “Object Recognition from Local Scale-Invariant Features, ” in Computer Vision, 1999. The Proceedings of the seventh IEEE International Conference on, 1999, pp. 1150-1157 vol.2.

5.D. G. Lowe, “Distinctive Image Features from Scale-Invariant Keypoints, ”Int. J. Comput. Vision, vol. 60, pp. 91-110, 2004.

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立體影片自動同步校準與左右視差調整

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