Image-Based Place Recognition on Bucolic Environment Across Seasons From Semantic Edge Description

時間 2021-01-11

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基於語義邊緣描述的跨越季節的鄉村環境圖像位置識別摘要基於圖像的位置識別的大部分研究工作都是針對城市環境而設計的。在田園環境中，例如質地低，語義含量低的自然場景，主要挑戰是應對視覺外觀隨時間的變化，例如光照，天氣，植被狀態或視點。變化的性質是不同的，這導致了描述田園風光的不同方法。我們介紹根據其語義和拓撲信息計算的全局圖像描述。它是基於圖像語義邊緣的小波變換構建的。然後，匹配兩個圖像等

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1. 【論文筆記】Place Recognition with ConvNet Landmarks-2015
2. Don't Look Back Robust Place Categorization for Place Recognition 基於分類的地點識別算法
3. Image Recognition Using Edge Detection
4. Convolutional Neural Network-based Place Recognition
5. Research on Pedestrian Attribute Recognition Based on Semantic Segmentation in Natural Scene
6. 迴環檢測的論文翻譯LDSO，Visual Place Recognition等
7. [place recognition]NetVLAD: CNN architecture for weakly supervised place recognition 論文翻譯及解析（轉）...
8. Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
9. Visual Place Recognition: A Survey閱讀筆記
10. CVPR2020及ICRA2020中視覺定位論文集錦
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