Description: A new approach to vanishing point detection in architectural environments一种寻找消失点的新算法-A new approach to vanishing point detection in architectural environments Platform: |
Size: 356352 |
Author:liuhao |
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Description: 是自己上模式识别讨论课时黄庆明老师布置的大作业，是关于基于消失点的道路侦测算法，对视觉导航研究很有帮助-Pattern recognition is discussed on their own class teacher arranged a big job Huang Qingming, is based on the vanishing point on the road detection algorithm is useful for visual navigation of Platform: |
Size: 16052224 |
Author:陈楠 |
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Description: 这个代码能够比较精确地实现图像中道路区域的分割与提取。-This code addresses this question by
decomposing the road detection process into two steps: the estimation
of the vanishing point associated with the main (straight) part
of the road, followed by the segmentation of the corresponding
road area based upon the detected vanishing point. The main
technical contributions of the proposed approach are a novel
adaptive soft voting scheme based upon a local voting region using
high-confidence voters, whose texture orientations are computed
using Gabor filters, and a new vanishing-point-constrained edge
detection technique for detecting road boundaries. Platform: |
Size: 4096 |
Author:邵文 |
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Description: This paper presents a novel approach for detecting vehicles for driver assistance. Assuming flat
roads, vanishing point is first estimated using Hough transform space to reduce the
computational complexity. Localization of vehicles is carried using horizontal projection on the
horizontal gradient image below vanishing point. An uppermost and lowermost peak in the
horizontal profile corresponds to search space of vehicles. Binarization of search space on the
horizontal gradient image is done using Otsu algorithm. Verification of vehicles is carried
through a series of rule based classifiers constructed using statistical moments, observing peaks
in vertical profiling, vehicle texture, symmetry and shadow property. Experimentation was
carried out on flat highway roads and detection rate of vehicles is nearly found to be 88.23 -This paper presents a novel approach for detecting vehicles for driver assistance. Assuming flat
roads, vanishing point is first estimated using Hough transform space to reduce the
computational complexity. Localization of vehicles is carried using horizontal projection on the
horizontal gradient image below vanishing point. An uppermost and lowermost peak in the
horizontal profile corresponds to search space of vehicles. Binarization of search space on the
horizontal gradient image is done using Otsu algorithm. Verification of vehicles is carried
through a series of rule based classifiers constructed using statistical moments, observing peaks
in vertical profiling, vehicle texture, symmetry and shadow property. Experimentation was
carried out on flat highway roads and detection rate of vehicles is nearly found to be 88.23 Platform: |
Size: 188416 |
Author:Chidanand |
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