Classification of LiDAR Point Cloud based on Multiscale Features and PointNet.
Zhongyang ZhaoYinglei ChengXiaosong ShiXianxiang QinLi SunPublished in: IPTA (2018)
Keyphrases
- multiscale
- feature vectors
- classification accuracy
- feature extraction
- feature set
- classification models
- classification method
- classification process
- feature space
- svm classifier
- pattern recognition
- classification algorithm
- class labels
- extracting features
- extracted features
- features extraction
- image processing
- support vector machine
- image features
- feature analysis
- discriminative features
- feature representation
- gender classification
- pattern classification
- decision trees
- feature weights
- high dimensionality
- point cloud
- support vector machine svm
- feature subset
- training set
- feature construction
- low level
- multiresolution
- edge detection
- image segmentation
- support vector
- irrelevant features
- wavelet transform
- keypoints
- classification scheme
- text classification
- cloud computing
- benchmark datasets