Publications by authors named "Rustum Choksi"

This article addresses how diverse collective behaviours arise from simple and realistic decisions made entirely at the level of each agent's personal space in the sense of the Voronoi diagram. We present a discrete-time model in two dimensions in which individual agents are aware of their local Voronoi environment and may seek static target locations. In particular, agents only communicate directly with their Voronoi neighbours and make decisions based on the geometry of their own Voronoi cells.

View Article and Find Full Text PDF

Barcode encoding schemes impose symbolic constraints which fix certain segments of the image. We present, implement, and assess a method for blind deblurring and denoising based entirely on Kullback-Leibler divergence. The method is designed to incorporate and exploit the full strength of barcode symbologies.

View Article and Find Full Text PDF

QR bar codes are prototypical images for which part of the image is a priori known (required patterns). Open source bar code readers, such as ZBar, are readily available. We exploit both these facts to provide and assess purely regularization-based methods for blind deblurring of QR bar codes in the presence of noise.

View Article and Find Full Text PDF

Synopsis of recent research by authors named "Rustum Choksi"

  • - Rustum Choksi's recent research primarily focuses on the emergent collective behaviors of agents based on local interactions within a Voronoi framework, demonstrating how simple decision-making can lead to complex group dynamics.
  • - His work also includes advanced techniques in image processing, specifically addressing the challenges of blind deblurring and denoising of barcodes through innovative methods such as Kullback-Leibler divergence, which enhances the readability of distorted barcode images.
  • - Choksi's findings have implications for both the understanding of spatial dynamics in agent-based models and practical applications in improving the reliability of barcode scanning technology.