Learning hierarchical spatial semantics for visual orientation devices

Karacs, Kristóf; Radvanyi, Mihaly; Stubendek, Attila; Bezányi, Balázs

doi:10.1109/biocas.2014.6981665

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2018

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“…The description and the classification method presented in this paper have been tested in the framework of the Bionic Eyeglass. The Bionic Eyeglass [32,33] is a portable device to help blind and visually impaired people in everyday navigation, orientation, and recognition tasks that require visual input. The development of the device is ongoing at present; the finalized algorithms are now implemented on different platforms (Android, iOS, and FPGA).…”

Section: Resultsmentioning

confidence: 99%

Shape Recognition Based on Projected Edges and Global Statistical Features

Stubendek

Karacs

2018

Mathematical Problems in Engineering

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A combined shape descriptor for object recognition is presented, along with an offline and online learning method. The descriptor is composed of a local edge-based part and global statistical features. We also propose a two-level, nearest neighborhood type multiclass classification method, in which classes are bounded, defining an inherent rejection region. In the first stage, global features are used to filter model instances, in contrast to the second stage, in which the projected edge-based features are compared. Our experimental results show that the combination of independent features leads to increased recognition robustness and speed. The core algorithms map easily to cellular architectures or dedicated VLSI hardware.

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Section: Resultsmentioning

confidence: 99%