Most shape estimation algorithms assume images of smooth surfaces with constant surface reflectance and often require knowledge of illuminant positions. These two requirements limit the applicability of such approaches to a small subset of imaged objects. In this paper a variational approach to the shape-from-color problem is presented that requires no knowledge of scene illuminants, and makes ...

It has been suggested that attenuated adaptation to visual stimuli in autism is the result of atypical perceptual priors (e.g., Pellicano and Burr in Trends Cogn Sci 16(10):504-510, 2012. doi: 10.1016/j.tics.2012.08.009 ). This study investigated adaptation to color in autistic adults, measuring both strength of afterimage and the influence of top-down knowledge. We found no difference in color...

We demonstrated unconscious learning of task-irrelevant perceptual regularities in a Serial Reaction Time (SRT) task in both visual and auditory domains. Participants were required to respond to different letters ('F' or 'J', experiment 1) or syllables ('can' or 'you', experiment 2) which occurred in random order. Unbeknownst to participants, the color (red, green, blue or yellow) of the two le...

It has been suggested that attenuated adaptation to visual stimuli in autism is the result of atypical perceptual priors (e.g., Pellicano & Burr, 2012). This study investigated adaptation to color in autistic adults, measuring both strength of afterimage and the influence of top-down knowledge. We found no difference in color afterimage strength between autistic and typical adults. Effects of t...

This paper presents an information hiding method that can be used for proving copyright ownership of a digital object. In contrast with other methods, the identity of the owner of the object is proved by the owner’s ability to demonstrate knowledge of a certain property of the signature. The method utilizes Zero Knowledge Interactive Proof (ZKIP) protocols for computationally intractable, or NP...

In this paper we describe a color image segmentation system that performs color clustering in a color space and then color region segmentation in the image domain. For color segmentation, we developed a fuzzy clustering algorithm that iteratively generates color clusters using a uniquely de"ned fuzzy membership function and an objective function for clustering optimization. The fuzzy membership...

A key problem in model-based object recognition is selection, namely, the problem of determining which regions in the image are likely to come from a single object. In this paper we present an approach that uses color as a cue to perform selection either based solely on image-data (data-driven), or based on the knowledge of the color description of the model (model-driven). Specifically, the pa...