Papers Depth Image Estimation
“Depth Image Estimation” 태그가 달린 논문 3편 · 필터 해제
Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets
2020-12-03
· Simon T. Isele, Marcel P. Schilling, Fabian E. Klein, Sascha Saralajew 외
Research on localization and perception for Autonomous Driving is mainly focused on camera and LiDAR datasets, rarely on radar data. Manually labeling sparse radar point clouds is challenging. For a dataset generation, w…
Autonomous DrivingDataset GenerationDepth Image EstimationBlenderProc
2019-10-25
· Maximilian Denninger, Martin Sundermeyer, Dominik Winkelbauer, Youssef Zidan 외
BlenderProc is a modular procedural pipeline, which helps in generating real looking images for the training of convolutional neural networks. These can be used in a variety of use cases including segmentation, depth, no…
3D Object RecognitionDepth Image EstimationInstance SegmentationPose Estimation+2Face Alignment in Full Pose Range: A 3D Total Solution
2018-04-02
· Xiangyu Zhu, Xiaoming Liu, Zhen Lei, Stan Z. Li
Face alignment, which fits a face model to an image and extracts the semantic meanings of facial pixels, has been an important topic in the computer vision community. However, most algorithms are designed for faces in sm…
3D Pose EstimationDepth Image EstimationFace AlignmentFace Model+2
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