GIM International

Comparing semantic segmentation approaches to MLS point clouds

The Santiago Urban Dataset (SUD) is a new, composite dataset merging handheld mobile laser scanning (HMLS) and mobile laser ...
IEEE

DSHR-Net: A Deep Snake High-Resolution Network for Dorsal Hand Vein Segmentation

Abstract: Dorsal hand vein segmentation is crucial for medical imaging analysis and biometric identification. However, conventional encoder-decoder networks often struggle with blurry boundaries and ...
GitHub

Hand/object segmentation masks

Thanks for releasing this great dataset! I’m currently trying to obtain segmentation masks for both the hand and the object. I attempted to generate masks by rendering the 3D object and MANO hand ...
SciELO

A fully automatic method for recognizing hand configurations of Brazilian sign language

Introduction Sign language is a collection of gestures, postures, movements, and facial expressions used by deaf people. The Brazilian sign language is Libras. The use of Libras has been increased ...
Frontiers

Intelligent rehabilitation in an aging population: empowering human-machine interaction for hand function rehabilitation through 3D deep learning and point cloud

Human-machine interaction and computational neuroscience have brought unprecedented application prospects to the field of medical rehabilitation, especially for the elderly population, where the ...
Frontiers

Underwater instance segmentation: a method based on channel spatial cross-cooperative attention mechanism and feature prior fusion

1 College of Information Engineering, Dalian Ocean University, Dalian, China 2 Key Laboratory of Marine Information Technology of Liaoning Province (Dalian Ocean University), Dalian, China In ...
Scientific Research Publishing

A Study on Edge Segmentation of Different Types of Datasets with Multiple Algorithms ()

1 ICT Division, Jamuna Bank PLC., Dhaka, Bangladesh. 2 Department of Physics, Govt. H. S. S College, Magura, Bangladesh. 3 Department of Mathematics, Uttara ...
IEEE

HandSeg: An Automatically Labeled Dataset for Hand Segmentation from Depth Images

Abstract: We propose an automatic method for generating high-quality annotations for depth-based hand segmentation, and introduce a large-scale hand segmentation dataset. Existing datasets are ...