Top-Down Visual Attention for Efficient Rendering of Task Related Scenes
نویسندگان
چکیده
The perception of a virtual environment depends on the user and the task the user is currently performing in that environment. Models of the human visual system can thus be exploited to significantly reduce computational time when rendering high fidelity images, without compromising the perceived visual quality. This paper considers how an image can be selectively rendered when a user is performing a visual task in an environment. In particular, we investigate to what level viewers fail to notice degradations in image quality, between nontask related areas and task related areas, when quality parameters such as image resolution, edge antialiasing and reflection and shadows are altered.
منابع مشابه
Rendering and validation of high-fidelity graphics using region-of-interest
We present and validate a region-of-interest (ROI) rendering system, in which the rendering parameters of the image are adapted based on models of human visual attention. Rendering realistic computer graphics imagery using global illumination algorithms is computationally expensive and this process can take many hours. The inclusion of participating media, such as fog or dust, considerably comp...
متن کاملA model of top-down attentional control during visual search in complex scenes.
Recently, there has been great interest among vision researchers in developing computational models that predict the distribution of saccadic endpoints in naturalistic scenes. In many of these studies, subjects are instructed to view scenes without any particular task in mind so that stimulus-driven (bottom-up) processes guide visual attention. However, whenever there is a search task, goal-dri...
متن کاملTop-down control of visual attention in object detection
Current computational models of visual attention focus on bottom-up information and ignore scene context. However, studies in visual cognition show that humans use context to facilitate object detection in natural scenes by directing their attention or eyes to diagnostic regions. Here we propose a model of attention guidance based on global scene configuration. We show that the statistics of lo...
متن کاملInteractions of Visual Attention and Object Recognition: Computational Modeling, Algorithms, and Psychophysics
vi Selective visual attention provides an effective mechanism to serialize perception of complex scenes in both biological and machine vision systems. In extension of previous models of saliencybased visual attention by Koch & Ullman (Human Neurobiology, 4:219–227, 1985) and Itti et al. (IEEE PAMI, 20(11):1254–1259, 1998), we have developed a new model of bottom-up salient region selection, whi...
متن کاملTop-down Control of Visual Attention in Object Detection
Current computational models of visual attention focus on bottom-up information and ignore scene context. However, studies in visual cognition show that humans use context to facilitate object detection in natural scenes by directing their attention or eyes to diagnostic regions. Here we propose a model of attention guidance based on global scene config uration. We show that the statistics of ...
متن کامل