1991
DOI: 10.1111/1467-8659.1010003
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Simultaneous Generation of Stereoscopic Views

Abstract: Currently almost all computer graphic stereoscopic images are generated by doubling the work required to create a single image. In this paper we derive and analyze algorithms for simultaneous generation of the two views necessary for a stereoscopic image. We begin with a discussion of the similarities of the two perspective views of a stereo pair. Following this, several graphics algorithms that have been optimized from known single-view methods are described and performance results obtained from testing the n… Show more

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Cited by 20 publications
(7 citation statements)
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“…Rendering many views is naturally required for devices such as stereoscopic displays [ABC*91]. Realistic rendering also benefits from many views over time, lenses and area or volume lights [CPC84, HA90].…”
Section: Related Workmentioning
confidence: 99%
“…Rendering many views is naturally required for devices such as stereoscopic displays [ABC*91]. Realistic rendering also benefits from many views over time, lenses and area or volume lights [CPC84, HA90].…”
Section: Related Workmentioning
confidence: 99%
“…In Ref. 24, a non-ray-tracing algorithm is described that speeds up second-eye image generation in the processes of polygon filling, hidden surface elimination, and clipping. Methods that take advantage of the coherence between the two halves of a stereo pair for ray-traced volume rendering are discussed in Ref.…”
Section: Tablementioning
confidence: 99%
“…In [9], the authors present a visible surface ray-tracing algorithm that infers a right-eye view from a fully ray-traced left-eye view and this algorithm is further improved in [10]. In [11], a non-ray-tracing algorithm is described to speed up the second eye image generation for polygon filling, hidden surface elimination, and clipping. In [12], methods that take advantage of the coherence between the two halves of a stereo pair for ray traced volume rendering are presented.…”
Section: Stereoscopic Rendering and Visualizationmentioning
confidence: 99%