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Denoising Monte Carlo rendered images is a critical challenge in computer graphics, traditionally addressed in post-processing phases. Recent advances have shifted focus towards integrating denoising directly into progressive rendering. This approach not ...

Three-dimensional (3D) rendering of biomedical volumes can be used to illustrate the diagnosis to patients, train inexperienced clinicians, or facilitate surgery planning for experts. The most realistic visualization can be achieved by the Monte-...

Ultrasonography is a non-invasive diagnostic technique using ultrasound to produce images of internal body structures in real-time. It is a reliable, robust and reproducible diagnostic imaging modality commonly used in the clinical practice. Nevertheless, ...

Automatic detection of emotions has many applications, but there is the capacity for improvement with respect to level of automation, accuracy, and speed. A system for recognizing emotions through facial expressions in live video streams and video ...

Clinical practice in echotomography often requires effective and time-efficient procedures for segmenting anatomical structures to take medical decisions for therapy and diagnosis. In this work we present a methodology for image segmentation in ...

Segmentation of lesions in ultrasound imaging is one of the key issues in the development of Computer Aided Diagnosis systems. This paper presents a hybrid solution to the segmentation problem. A linear filter composed of a Gaussian and a Laplacian of ...

Verbal communication between individuals requires the parallel evolution of a vocal system capable of emitting different sounds and of an auditory system able to recognize each vocal pattern. In this work we present the evolution of a population of ...

This paper presents the system designed to estimate body silhouette representation from sequences of images. The accuracy of human motion estimation can be improved by increasing the complexity of any of the three fundamental building blocks: the ...

This paper describes an image segmentation method based on an evolutionary approach. Unlike other application of evolutionary algorithms to this problem, our method does not require the definition of a global fitness function. Instead a survival ...

This paper describes a new evolutionary algorithm for image segmentation. The evolution involves the colonization of a bidimensional world by a number of populations. The individuals, belonging to different populations, compete to occupy all the ...

Clinical assessment of skeletal age is a frequent, but yet difficult and time-consuming task. Automatic methods which estimate the skeletal age from a hand radiogram are currently being studied. This work presents a method to segment each bone complex ...