Da fotografia como arte à arte como fotografia: a experiência do Museu de Arte Contemporânea da USP na década de 1970

Este ensaio visa sistematizar os primeiros resultados de uma pesquisa, ainda em curso, sobre o processo de legitimação da fotografia pelo sistema de arte no Brasil, cujo foco principal é o museu. Os museus de arte da cidade de São Paulo foram escolhidos para dar início a essa investigação. Primeiramente, será abordada, em linhas gerais, a presença da fotografia no Museu de Arte Moderna de São Paulo e na Bienal de São Paulo, dada a vinculação de origem do Museu de Arte Contemporânea com essas duas instituições paulistanas. Na seqüência será analisada a formação do acervo fotográfico do Museu de Arte Contemporânea da Universidade de São Paulo durante a década de 1970. Por fim, esse percurso permitirá observar que a atuação de Walter Zanini, o primeiro diretor do Museu, e as particularidades da posição do MAC-USP no sistema de arte no Brasil naquele período resultaram no entendimento da fotografia prioritariamente no âmbito da arte contemporânea de caráter experimental e não como obra de arte autônoma, segundo os princípios da chamada fotografia artística.

Constant-random practice and the adaptive process in motor learning with varying amounts of constant practice

The adaptive process in motor learning was examined in terms of effects of varying amounts of constant practice performed before random practice. Participants pressed five response keys sequentially, the last one coincident with the lighting of a final visual stimulus provided by a complex coincident timing apparatus. Different visual stimulus speeds were used during the random practice. 33 children (M age=11.6 yr.) were randomly assigned to one of three experimental groups: constant-random, constant-random 33%, and constant-random 66%. The constant-random group practiced constantly until they reached a criterion of performance stabilization three consecutive trials within 50 msec. of error. The other two groups had additional constant practice of 33 and 66%, respectively, of the number of trials needed to achieve the stabilization criterion. All three groups performed 36 trials under random practice; in the adaptation phase, they practiced at a different visual stimulus speed adopted in the stabilization phase. Global performance measures were absolute, constant, and variable errors, and movement pattern was analyzed by relative timing and overall movement time. There was no group difference in relation to global performance measures and overall movement time. However, differences between the groups were observed on movement pattern, since constant-random 66% group changed its relative timing performance in the adaptation phase.

Something moves: a philosophical and ethical praise to the combat practicing as art and education

In this work we tried to produce a philosophic-ethic praise to the Martial Arts` combat practice, based in our years of Martial Arts training accompanied with studies of oriental and occidental Philosophy. Tracing a critical history of the changes happened to the Martial Arts we brought the concept of combat as a martial practice of life empowerment. Opposing this, we presented the notion of fight as a result of the capture that the war arts suffered because of the despotic empires. Besides, we demonstrated that the combat practice is simultaneously an artistic and educational activity, because it aims at the production of an immanence field witch is loyal to the event.

Image indexing and retrieval using an ART-2A neural network architecture

Traditional content-based image retrieval (CBIR) systems use low-level features such as colors, shapes, and textures of images. Although, users make queries based on semantics, which are not easily related to such low-level characteristics. Recent works on CBIR confirm that researchers have been trying to map visual low-level characteristics and high-level semantics. The relation between low-level characteristics and image textual information has motivated this article which proposes a model for automatic classification and categorization of words associated to images. This proposal considers a self-organizing neural network architecture, which classifies textual information without previous learning. Experimental results compare the performance results of the text-based approach to an image retrieval system based on low-level features. (c) 2008 Wiley Periodicals, Inc.

3D face computational photography using PCA spaces

In this paper, we present a 3D face photography system based on a facial expression training dataset, composed of both facial range images (3D geometry) and facial texture (2D photography). The proposed system allows one to obtain a 3D geometry representation of a given face provided as a 2D photography, which undergoes a series of transformations through the texture and geometry spaces estimated. In the training phase of the system, the facial landmarks are obtained by an active shape model (ASM) extracted from the 2D gray-level photography. Principal components analysis (PCA) is then used to represent the face dataset, thus defining an orthonormal basis of texture and another of geometry. In the reconstruction phase, an input is given by a face image to which the ASM is matched. The extracted facial landmarks and the face image are fed to the PCA basis transform, and a 3D version of the 2D input image is built. Experimental tests using a new dataset of 70 facial expressions belonging to ten subjects as training set show rapid reconstructed 3D faces which maintain spatial coherence similar to the human perception, thus corroborating the efficiency and the applicability of the proposed system.