Pole-Like Objects Segmentation and Multiscale Classification-Based Fusion from Mobile Point Clouds in Road Scenes
Z Wang, L Yang, Y Sheng, M Shen - Remote Sensing, 2021 - mdpi.com
Real-time acquisition and intelligent classification of pole-like street-object point clouds are
of great significance in the construction of smart cities. Efficient point cloud processing …
of great significance in the construction of smart cities. Efficient point cloud processing …
Non-parametric scene parsing: Label transfer methods and datasets
Scene parsing is the problem of densely labeling every pixel in an image with a meaningful
class label. Driven by powerful methods, remarkable progress has been achieved in scene …
class label. Driven by powerful methods, remarkable progress has been achieved in scene …
[PDF][PDF] Pole-Like Objects Segmentation and Multiscale Classification-Based Fusion from Mobile Point Clouds in Road Scenes. Remote Sens. 2021, 13, 4382
Z Wang, L Yang, Y Sheng, M Shen - 2021 - pdfs.semanticscholar.org
Real-time acquisition and intelligent classification of pole-like street-object point clouds are
of great significance in the construction of smart cities. Efficient point cloud processing …
of great significance in the construction of smart cities. Efficient point cloud processing …
基于 SEF-GHEI 及协同表示的步态识别研究.
徐守坤, 邱亮, 石林, **宁 - Application Research of …, 2019 - search.ebscohost.com
将协同表示方法应用于步态识别中可以解决稀疏表示方法计算耗时的问题,
但提取步态特征采用的GEI 算法没有考虑步态内部轮廓边界信息, 导致识别率不高. 针对此问题 …
但提取步态特征采用的GEI 算法没有考虑步态内部轮廓边界信息, 导致识别率不高. 针对此问题 …
基于辨识特征后融合的行人再识别.
刘琦, 侯丽, 彭章友 - Application Research of Computers …, 2019 - search.ebscohost.com
跨摄像机行人因光照, 视角, 姿态的差异, 会使其外观变化显著, 给行人再识别的研究带来严峻
挑战. 基于多特征融合和距离度量学**技术, 提出辨识特征后融合的算法, 并将其应用于行人再 …
挑战. 基于多特征融合和距离度量学**技术, 提出辨识特征后融合的算法, 并将其应用于行人再 …