Hybrid image-/model-based gaze-contingent rendering
作者： Hunter Murphy , Andrew T. Duchowski
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摘要: A nonisotropic hybrid image-/model-based gaze-contingent rendering technique utilizing ray casting on a GPU is discussed. Empirical evidence derived from human subject experiments indicates an inverse relationship between peripherally degraded scene's high-resolution inset size and mean search time, trend consistent with existing image- model- based techniques. In addition, the data suggest that maintaining target's silhouette edges decreases times when compared to targets edges. Benefits of include simplicity design parallelizability, both conducive implementation.
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