Human observers are able to successfully infer direction and intensity of light from photographed scenes despite complex interactions between light, shape, and material. We investigate how well they are able to distinguish other low-level aspects of illumination, such as the diffuseness and the number of light sources. We use photographs of a teapot, an orange, and a tennis ball from the ALOI database (Geusebroek, Burghouts, & Smeulders, 2005) to create different illumination conditions, varying either in diffuseness of a single light source or in separation angle between two distinct light sources. Our observers were presented with all three objects; they indicated which object was illuminated differently from the other two. We record ...
Humans are able to estimate light field properties in a scene in that they have expectations of the ...
The pattern of shading across an image can provide a rich sense of object shape. Our ability to use ...
AbstractThe pattern of shading across an image can provide a rich sense of object shape. Our ability...
Human observers are able to successfully infer direction and intensity of light from photographed sc...
Illumination tends to vary in natural visual scenes, incorporating well-lit areas and darker regions...
The allocation of overt visual attention while viewing photographs of natural scenes is commonly tho...
Natural scenes often contain variations in local luminance as a result of cast shadows and illuminat...
AbstractNatural scenes often contain variations in local luminance as a result of cast shadows and i...
We investigate how human observers make use of three candidate cues in their lightness judgments. Ea...
When judging the lightness of objects, the visual system has to take into account many factors such ...
A key problem in recognition is that the image of an object depends on the lighting conditions. We i...
AbstractA key problem in recognition is that the image of an object depends on the lighting conditio...
Three scene properties determine the image of a 3D object: the material reflectance, the illuminatio...
The variable resolution and limited processing capacity of the human visual system requires us to sa...
Humans are able to estimate light field properties in a scene in that they have expectations of the ...
The pattern of shading across an image can provide a rich sense of object shape. Our ability to use ...
AbstractThe pattern of shading across an image can provide a rich sense of object shape. Our ability...
Human observers are able to successfully infer direction and intensity of light from photographed sc...
Illumination tends to vary in natural visual scenes, incorporating well-lit areas and darker regions...
The allocation of overt visual attention while viewing photographs of natural scenes is commonly tho...
Natural scenes often contain variations in local luminance as a result of cast shadows and illuminat...
AbstractNatural scenes often contain variations in local luminance as a result of cast shadows and i...
We investigate how human observers make use of three candidate cues in their lightness judgments. Ea...
When judging the lightness of objects, the visual system has to take into account many factors such ...
A key problem in recognition is that the image of an object depends on the lighting conditions. We i...
AbstractA key problem in recognition is that the image of an object depends on the lighting conditio...
Three scene properties determine the image of a 3D object: the material reflectance, the illuminatio...
The variable resolution and limited processing capacity of the human visual system requires us to sa...
Humans are able to estimate light field properties in a scene in that they have expectations of the ...
The pattern of shading across an image can provide a rich sense of object shape. Our ability to use ...
AbstractThe pattern of shading across an image can provide a rich sense of object shape. Our ability...