From filters to features:Scale-space analysis of edge and blur coding in human vision

To make vision possible, the visual nervous system must represent the most informative features in the light pattern captured by the eye. Here we use Gaussian scale-space theory to derive a multiscale model for edge analysis and we test it in perceptual experiments. At all scales there are two stages of spatial filtering. An odd-symmetric, Gaussian first derivative filter provides the input to a Gaussian second derivative filter. Crucially, the output at each stage is half-wave rectified before feeding forward to the next. This creates nonlinear channels selectively responsive to one edge polarity while suppressing spurious or "phantom" edges. The two stages have properties analogous to simple and complex cells in the visual cortex. Edges are found as peaks in a scale-space response map that is the output of the second stage. The position and scale of the peak response identify the location and blur of the edge. The model predicts remarkably accurately our results on human perception of edge location and blur for a wide range of luminance profiles, including the surprising finding that blurred edges look sharper when their length is made shorter. The model enhances our understanding of early vision by integrating computational, physiological, and psychophysical approaches. © ARVO.

Rethinking management theory and practice for the Indian context:an international management perspective

The Indian economy characterized variously as a slumbering giant, powerful tiger, and the most promising market has witnessed a slowdown, occasional disturbances in the industrial relations space, and attention of the world in the last five years. In this special issue, we raise pertinent questions and present research on multiple dimensions of the dynamic and rapidly changing business environment of India. The suitability of management models and frameworks developed in the North American contexts in emerging markets like India and China is questioned. One example of how the well-established models in the literature on success of international joint ventures were insufficient to explain the success of three international joint ventures in the insurance space in India is presented as case in point. Finally, the nine papers that materially contribute to the theme of this special issue are introduced. © 2016 Wiley Periodicals, Inc.

The role of context and timeframe in moderating relationships within the theory of planned behaviour

This study examined the moderating effect of context and timeframe on the predictive ability of Theory of Planned Behaviour (TPB) constructs. Three hundred and eighty-three students completed TPB measures either in a campus bar or a library and were randomly allocated to one of three timeframe conditions: tonight, tomorrow or next week. There was a threeway interaction such that the subjective norms of participants in a bar were more predictive of their intentions to binge drink that night, whereas thesubjective norms of participants in a library were less predictive of intentions to binge drink that night. This research provides empirical evidence that ignoring context may result in underestimation of the importance of normative factors in binge drinking. It also suggests that other research utilising the TPB needs to take greater account of the impact of context of data collection, which has been neglected to date.