The paper presents a hybrid approach that ultilizes multiple low-level feature descriptors for performing building detection in 2D images.
Abstract. The paper presents a hybrid approach that ultilizes multiple low-level feature descriptors for performing building detection in 2D images. The.
May 25, 2024 · Face Recognition and Detection Using Haars Features with Template ... Building Detection with Loosely-Coupled Hybrid Feature Descriptors.
Building Detection with Loosely-Coupled Hybrid Feature Descriptors · A Multiple-Objects Recognition Method Based on Region Similarity Measures: Application to ...
The paper presents a hybrid approach that ultilizes multiple low-level feature descriptors for performing building detection in 2D images. The proposed method ...
Face Recognition and Detection Using Haars Features with Template Matching Algorithm ... Building detection with loosely-coupled hybrid feature descriptors.
The proposed method is a symbiosis of two feature descriptors, namely Color and Edge Directivity Descriptor (CEDD) and Fuzzy Color and Texture Histrogram (FCTH) ...
In this study, we propose an automated approach for building detection based on Gabor filters and spatial voting. We extract features (representing buildings) ...
The paper presents a hybrid approach that ultilizes multiple low-level feature descriptors for performing building detection in 2D images. The proposed method ...
The proposed hybrid segmentation method was a two-stage technique; watershed segmentation was conducted to get the initial segments before merging.
Missing: Loosely- Coupled