![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Article
RegGeoNet: Learning Regular Representations for Large-Scale 3D Point Clouds
Deep learning has proven an effective tool for 3D point cloud processing. Currently, most deep set architectures are developed for sparse inputs (typically with a few thousand points), which are unable to prov...
-
Chapter and Conference Paper
Multiple Visual Fields Cascaded Convolutional Neural Network for Breast Cancer Detection
This paper proposes a novel multiple visual fields cascaded convolutional neural network MVF-CasCNN to detect breast cancer metastases in the gigapixel whole slide image WSI. Here visual field is the total area o...
-
Chapter and Conference Paper
Related HOG Features for Human Detection Using Cascaded Adaboost and SVM Classifiers
Robust and fast human detection in static image is very important for real applications. Although different feature descriptors have been proposed for human detection, for HOG descriptor, how to select and com...
-
Chapter and Conference Paper
Real-Time Plane Segmentation and Obstacle Detection of 3D Point Clouds for Indoor Scenes
Scene analysis is an important issue in computer vision and extracting structural information is one of the fundamental techniques. Taking advantage of depth camera, we propose a novel fast plane segmentation ...
-
Chapter and Conference Paper
Motion and Gray Based Automatic Road Segment Method MGARS in Urban Traffic Surveillance
This paper presents a novel method MGARS to automatic road area segmentation based on motion and gray feature for the purpose of urban traffic surveillance. The proposed method can locate road region by region...