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Proceedings ArticleDOI

Shifted fovea multiresolution geometries

P. Camacho, +2 more
- Vol. 1, pp 307-310
TLDR
Reconfigurable geometries for image sensors based on a concentric cartesian multiresolution lattice modified by four configuration parameters allow one, without moving the image sensor, to examine any region of the field of view with the highest available resolution, as well as to select the acuity profile for the regions surrounding the fovea.
Abstract
This paper describes reconfigurable geometries for image sensors based on a concentric cartesian multiresolution lattice modified by four configuration parameters. They allow one, without moving the image sensor, to examine any region of the field of view with the highest available resolution, as well as to select the acuity profile for the regions surrounding the fovea. The efficient processing of the multiresolution images obtained requires discrete shifts of fovea and rings whose magnitudes are calculated. Real time foveal images have been preprocessed and examples are given.

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Citations
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Journal ArticleDOI

Embedded foveation image coding

TL;DR: An embedded foveation image coding (EFIC) algorithm, which orders the encoded bitstream to optimize foveated visual quality at arbitrary bit-rates, is proposed and a modified SPIHT algorithm is developed to improve the coding efficiency.
Journal ArticleDOI

Foveation scalable video coding with automatic fixation selection

TL;DR: A foveation scalable video coding (FSVC) algorithm which supplies good quality-compression performance as well as effective rate scalability, and is adaptable to different applications, such as knowledge-based video coding and video communications over time-varying, multiuser and interactive networks.

Foveated Image and Video Coding

Zhou Wang, +1 more
TL;DR: Foveated image and video coding systems achieve increased compression efficiency by removing considerable high-frequency information redundancy from the regions away from the fixation point without significant loss of the reconstructed image or video quality.
Journal ArticleDOI

Image analysis and computer vision: 1996

TL;DR: A bibliography of nearly 2150 references related to computer vision and image analysis, arranged by subject matter, is presented, covering topics including computational techniques; feature detection and segmentation; image and scene analysis; and motion.
Proceedings ArticleDOI

Vision system based on shifted fovea multiresolution retinotopologies

TL;DR: A foveal active vision system capable of moving and fixating the fovea to any region of a scene, detecting its most relevant areas to extract certain features of these regions of interest and including a new algorithm capable of obtaining a curvature function by means of local histograms of the contour chain code.
References
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Journal ArticleDOI

Promising directions in active vision

TL;DR: Important research areas in active vision include attention, foveal sensing, gaze control, eye-hand coordination, and integration with robot architectures.
Book ChapterDOI

A Foveated Retina-Like Sensor Using CCD Technology

TL;DR: A CCD imager whose sampling structure is loosely modeled after the biological visual system is described, which has embedded in its structure a logarithmic transformation that makes it size and rotation invariant.
Proceedings ArticleDOI

Design considerations for a space-variant visual sensor with complex-logarithmic geometry

TL;DR: An analysis is presented which makes it possible to compare directly the space complexity of different sensor designs in the complex logarithmic family and rough estimates can be obtained of the parameters necessary to duplicate the field width/resolution performance of the human visual system.
Proceedings ArticleDOI

Foveal machine vision systems

TL;DR: A class of machine vision systems, modeled after advanced biological vision, feature space-variant (variable-resolution) imager topologies and a closed-loop system architecture that reduces data structure size and computations by several orders of magnitude relative to conventional implementations.
Journal ArticleDOI

Estimation of depth from motion using an anthropomorphic visual sensor

TL;DR: The application of an anthropomorphic, retina-like visual sensor for optical flow and depth estimation is presented, and the main advantage is considerable data reduction, while a high spatial resolution is preserved in the part of the field of view corresponding to the focus of attention.