In this paper we propose a vision algorithm to object recognition during a mobile robot's journey in a controlled environment. Furthermore, another algorithm was used to drawing the path of the robot, which is bas...
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ISBN:
(纸本)9781479934683
In this paper we propose a vision algorithm to object recognition during a mobile robot's journey in a controlled environment. Furthermore, another algorithm was used to drawing the path of the robot, which is based on the evaluation of a vision algorithm to provide results. The first algorithm uses color processing techniques to achieve an image thresholding and a Harris corner detector to recognize objects in a scene. A graphical user interface has been developed to perform the image analysis and the path-drawing in real time. These algorithms, working together, provided 97% as recognition rate.
We carry out a systematic study of existing visual CAPTCHAs based on distorted characters that are augmented with anti-segmentation techniques. Applying a systematic evaluation methodology to 15 current CAPTCHA scheme...
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ISBN:
(纸本)9781450310758
We carry out a systematic study of existing visual CAPTCHAs based on distorted characters that are augmented with anti-segmentation techniques. Applying a systematic evaluation methodology to 15 current CAPTCHA schemes from popular web sites, we find that 13 are vulnerable to automated attacks. Based on this evaluation, we identify a series of recommendations for CAPTCHA designers and attackers, and possible future directions for producing more reliable human/computer distinguishers.
To obtain machine vision algorithms which are robust in the face of variations in image lighting, arrangements of objects, viewing parameters, etc., it is helpful to build into the algorithms an adaptive control mecha...
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To obtain machine vision algorithms which are robust in the face of variations in image lighting, arrangements of objects, viewing parameters, etc., it is helpful to build into the algorithms an adaptive control mechanism such as a state-space search procedure. Such a procedure dynamically determines an optimal sequence of image processing operators to classify an image or to put its parts into correspondence with a model or set of models. One benefit of structuring the vision algorithm as a state-space search is that a multiplicity of paths toward goal nodes in the state space can be explored concurrently. In this paper, we identify several types of parallelism that may be exploited in vision algorithms based on state-space search. We present a new method, the 'V* algorithm', which, unlike earlier parallel search algorithms, generates the successors of a state in parallel. In machine vision, this part of the search process is very expensive, and thus V* permits substantial speedup. An experimental evaluation of V* is presented which is based on a simulation of a character recognition algorithm;the simulation runs on a Sequent Balance 21000 using 16 processors.
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