) multiple feature fusion 多特征融合 ) Multi-feature fusion 多特征融合 ) image feature fusion 图像特征融合 ... www.dictall.com|基于2个网页 例句 释义: 全部,多特征融合 更多例句筛选 1. A multi-feature fusion based method was presented for water hazard detection. 提出了一种基于图像多特征融合的...
现场校准时使用的特征通常依赖于特定的人工目标或特定设施: [8-9]利用运动球面目标对multi-LiDAR和2D LiDAR- imu系统进行标定; [10-12]等使用人工简单平面、图案平面和v形平面标定2D LiDAR 2D LiDAR- imu系统和multi-LiDAR; [13-14]分别使用正交法向量对和三平面线对3D LiDAR和2D LiDAR- imu系统进行标定; [...
多特征融合,Multi-feature fusion 1)Multi-feature fusion多特征融合 1.Small moving target recognition based on multi-feature fusion;基于多特征融合的弱小运动目标识别 2.Daytime water hazard detection based on multi-feature fusion基于图像多特征融合的野外水体障碍物检测 3.Moving object recognition based on ...
只有LBP-TOP特征需要 feature: 可选'LBP-TOP', '3DHOG', 'HOOF' t_times, y_times, x_times: 将图像序列在t, y, x三个维度分成多少子块提取特征,推荐LBP-TOP的t_times=1 x_radius, y_radius, t_radius, xy_neighbor, xy_neighbor, yt_neighbor: LBP-TOP参数 xy_bins, xt_bins, yt_bins: 3D...
In this section, we will elaborate on our multi-feature fusion CNNs framework for Drosophila embryo of interest detection, starting with the introduction of the Drosophila Embryonic Dataset that we built. Experimental analysis Training details We use the deep learning open source framework Keras, this...
In this Letter, the authors propose a novel convolutional neural network (CNN)-based AMC method with multi-feature fusion. First, the modulation signals are transformed into two image representations of cyclic spectra (CS) and constellation diagram (CD), respectively. Then, a two-branch CNN ...
The method fuses multi-features such as shots, anchorpersons, titles and silences, and avoids deficiencies of detecting based on a single feature. Experiments prove the effectiveness of the method, which can get the average detection precision of 96%.被引量: 2 ...
Point cloudFeature extractionCompletionWorld Wide Web - In the real world, 3D point cloud data is generally obtained by LiDAR scanning. However, objects in the real world are occluded from each other, which will cause the point cloud...
The single feature based vehicle license plate localization algorithms are hard to be adapted to the complex environment. In order to solve the problem, a multi-feature fusion algorithm was proposed, which made use of ...
The models of VGG 16, VGG 19 and ResNet50 are combined in the backbone of Yolo for multi-feature extraction to establish a multi-feature fusion approach and enhance the performance of basketball player and action recognition. The proposed model is evaluated on different basketball videos and ...