Abstract — Eye is the most interesting and most widely studied sensing organ in human body. The vision is always a magical phenomenon in the world done by the co-ordination of eye and brain. Artificial intelligent is making the life easier and more intelligent. Emulating the human vision intelligently is a challenging task for engineers. Finding the region of interest is related with the focused attention for human vision. Texture analysis and segmentation plays a vital role for perceiving the region of interest. There are several algorithms available for this. This project developed an efficient algorithm for finding the region of interest. As well as it finds the better texture analysis filter for perceiving the region of interest
In computer vision applications it is necessary to extract the regions of interest in order to reduc...
Retina is one of the important layers of the eyes, which includes sensitive cells to colour and ligh...
Recent research on computational modeling of visual attention has demonstrated that a bottom-up appr...
Machine vision is still a challenging topic and attracts researchers to carry out researches in this...
International audienceMechanisms which are not fully understood today, exist in human visual system ...
Advisor/s: Vincent Courboulay and Arnaud Revel. Date and location of PhD thesis defense: 5 September...
We present a method for automatically determining the perceptual importance of different regions in ...
Cognitive systems are trained to recognise perceptually mean-ingful parts of an image. These regions...
Abstract—This paper proposes an algorithm for accurate detection of salient areas from a given scene...
Current image coding systems such as JPEG are far away from the capability of the human perceptual s...
Visual attention (VA) is an integral property of the human visual system. The deployment of a VA m...
Visual attention has been a hot research point for many years and many new applications are emerging...
Visual attention (VA) is an integral property of the human visual system. The deployment of a VA mod...
Visual attention is the capability of biological visual systems to rapidly detect interesting parts ...
Visual attention (VA) is an integral property of the human visual system. The deployment of a VA mod...
In computer vision applications it is necessary to extract the regions of interest in order to reduc...
Retina is one of the important layers of the eyes, which includes sensitive cells to colour and ligh...
Recent research on computational modeling of visual attention has demonstrated that a bottom-up appr...
Machine vision is still a challenging topic and attracts researchers to carry out researches in this...
International audienceMechanisms which are not fully understood today, exist in human visual system ...
Advisor/s: Vincent Courboulay and Arnaud Revel. Date and location of PhD thesis defense: 5 September...
We present a method for automatically determining the perceptual importance of different regions in ...
Cognitive systems are trained to recognise perceptually mean-ingful parts of an image. These regions...
Abstract—This paper proposes an algorithm for accurate detection of salient areas from a given scene...
Current image coding systems such as JPEG are far away from the capability of the human perceptual s...
Visual attention (VA) is an integral property of the human visual system. The deployment of a VA m...
Visual attention has been a hot research point for many years and many new applications are emerging...
Visual attention (VA) is an integral property of the human visual system. The deployment of a VA mod...
Visual attention is the capability of biological visual systems to rapidly detect interesting parts ...
Visual attention (VA) is an integral property of the human visual system. The deployment of a VA mod...
In computer vision applications it is necessary to extract the regions of interest in order to reduc...
Retina is one of the important layers of the eyes, which includes sensitive cells to colour and ligh...
Recent research on computational modeling of visual attention has demonstrated that a bottom-up appr...