BACKGROUND The perceived color at each point in a visual scene depends on the relationship between light signals from that point, and light signals from surrounding areas of the scene. In the well known phenomenon of simultaneous color contrast, changing the overall brightness or hue of an object's surround induces a complementary shift in the perceived brightness or hue of the object's color. ...

9 Color seems to be an unalienable property of objects. 9 Evolution, such that a species adapts to its environment, has driven the use of color by perception. 9 Human perception actively assigns colors to an observed scene. 9 Objects in the world respond to daylight by reflecting differently part of the incoming light spectrum. 9 Color is one of the main cues for segmenting objects in a scene.

In this paper, we present Scene Structural Matrix (SSM) and apply it to the retrieval of landscape images. The SSM captures the overall structural characteristics of the scene by indexing the geometric features of the image. A binary image tree (bintree) is used to partition the image and from which we derive multi-resolution geometric structural descriptors of the image. It is shown that SSM i...

A fundamental problem in digital photography is the estimation of scene colorimetry from raw DSC image data. Currently, a standard is under development in this area (ISO 17321-2). In the development of this standard, few subjective experiments have been carried out until now relating to the estimation of scene colorimetry from noncolorimetric raw data, where no assumptions are made concerning t...

Videos captured by consumer cameras often exhibit temporal variations in color and tone that are caused by camera autoadjustments like white-balance and exposure. When such videos are sub-sampled to play fast-forward, as in the increasingly popular forms of timelapse and hyperlapse videos, these temporal variations are exacerbated and appear as visually disturbing high frequency flickering. Pre...

Scene understanding addresses the issue of “what a scene contains”. Existing research on scene understanding is typically focused on classifying a scene into classes that are of the same category type. These approaches, although they solve some scene-understanding tasks successfully, in general fail to address the semantics in scene understanding. For example, how does an agent learn the concep...

Flash photography is commonly used in low-light conditions to prevent noise and blurring artifacts. However, flash photography commonly leads to a mismatch between scene illumination and flash illumination, due to the bluish light that flashes emit. Not only does this change the atmosphere of the original scene illumination, it also makes it difficult to perform white balancing because of the i...

In this paper, we introduce a new image processing pipeline for scene recognition and pose estimation in robotic applications. Unknown objects are autonomously modeled resulting in geometric 3D models and color images. Theses models are then used for object recognition in cluttered scenes by merging color and geometry information. Our recognition approach generates new suitable feature vectors ...

Objects hardly appear to change color when the spectral distribution of the illumination changes: a phenomenon known as color constancy. Color constancy could either be achieved by relying on properties that are insensitive to changes in the illumination (such as spatial color contrast) or by compensating for the estimated chromaticity of the illuminant. We examined whether subjects can judge t...