Papers Transparent objects
“Transparent objects” 태그가 달린 논문 117편 · 필터 해제
Dense Reconstruction of Transparent Objects by Altering Incident Light Paths Through Refraction
This paper addresses the problem of reconstructing the surface shape of transparent objects. The difficulty of this problem originates from the viewpoint dependent appearance of a transparent object, which quickly makes …
ObjectSurface ReconstructionTransparent objectsSemantic Image Matting
Natural image matting separates the foreground from background in fractional occupancy which can be caused by highly transparent objects, complex foreground (e.g., net or tree), and/or objects containing very fine detail…
Image MattingSemantic Image MattingTransparent objectsRGB-D Local Implicit Function for Depth Completion of Transparent Objects
Majority of the perception methods in robotics require depth information provided by RGB-D cameras. However, standard 3D sensors fail to capture depth of transparent objects due to refraction and absorption of light. In …
Depth CompletionDepth EstimationTransparent objectsRefractive Light-Field Features for Curved Transparent Objects in Structure from Motion
Curved refractive objects are common in the human environment, and have a complex visual appearance that can cause robotic vision algorithms to fail. Light-field cameras allow us to address this challenge by capturing th…
Transparent objectsFakeMix Augmentation Improves Transparent Object Detection
Detecting transparent objects in natural scenes is challenging due to the low contrast in texture, brightness and colors. Recent deep-learning-based works reveal that it is effective to leverage boundaries for transparen…
Data AugmentationMirror DetectionObjectobject-detection+3Segmenting Transparent Object in the Wild with Transformer
This work presents a new fine-grained transparent object segmentation dataset, termed Trans10K-v2, extending Trans10K-v1, the first large-scale transparent object segmentation dataset. Unlike Trans10K-v1 that only has tw…
DecoderObjectSegmentationSemantic Segmentation+1Transfusion: A Novel SLAM Method Focused on Transparent Objects
Recently RGB-D sensors have become very popular in the area of Simultaneous Localisation and Mapping (SLAM). The RGB-D SLAM approach relies heavily on the accuracy of the input depth map. However, refraction and refl…
Transparent objectsLimited-angle tomographic reconstruction of dense layered objects by dynamical machine learning
Limited-angle tomography of strongly scattering quasi-transparent objects is a challenging, highly ill-posed problem with practical implications in medical and biological imaging, manufacturing, automation, and environme…
BIG-bench Machine LearningTransparent objectsDeep Polarization Cues for Transparent Object Segmentation
Segmentation of transparent objects is a hard, open problem in computer vision. Transparent objects lack texture of their own, adopting instead the texture of scene background. This paper reframes the problem of transpar…
Instance SegmentationObjectSegmentationSemantic Segmentation+1A novel direct structured-light inspection technique for contaminant and defect detection
The Direct Structured-Light Inspection Technique (DSIT) proposed in this paper is a novel method that can be implemented under two types of binary structured light illumination to detect contaminants and defects on specu…
Defect DetectionTransparent objectsPhase-retrieval exact solution based on window modulation
Quantitative phase imaging (QPI) is a promising tool for imaging complex objects. By Combining self-reference interferometry and phase retrieval, this paper proposes a general exact QPI for arbitrary complex-objects as w…
RetrievalTransparent objectsThrough the Looking Glass: Neural 3D Reconstruction of Transparent Shapes
Recovering the 3D shape of transparent objects using a small number of unconstrained natural images is an ill-posed problem. Complex light paths induced by refraction and reflection have prevented both traditional and de…
3D geometry3D Point Cloud Reconstruction3D ReconstructionPoint cloud reconstruction+1Segmenting Transparent Objects in the Wild
Transparent objects such as windows and bottles made by glass widely exist in the real world. Segmenting transparent objects is challenging because these objects have diverse appearance inherited from the image backgroun…
SegmentationSemantic SegmentationTransparent objectsLensless hyperspectral imaging by Fourier transform spectroscopy for broadband visible light: phase retrieval technique
A novel phase retrieval algorithm for broadband hyperspectral phase imaging from noisy intensity observations is proposed. It utilizes advantages of the Fourier Transform spectroscopy in the self-referencing optical setu…
RetrievalTransparent objectsNatural Image Matting via Guided Contextual Attention
Over the last few years, deep learning based approaches have achieved outstanding improvements in natural image matting. Many of these methods can generate visually plausible alpha estimations, but typically yield blurry…
Image MattingSemantic Image MattingTransparent objectsKeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects
Estimating the 3D pose of desktop objects is crucial for applications such as robotic manipulation. Many existing approaches to this problem require a depth map of the object for both training and prediction, which restr…
3D Pose EstimationKeypoint EstimationPose EstimationTransparent objectsClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation
Transparent objects are a common part of everyday life, yet they possess unique visual properties that make them incredibly difficult for standard 3D sensors to produce accurate depth estimates for. In many cases, they o…
3D geometryDepth CompletionDepth EstimationMonocular Depth Estimation+5Colored Transparent Object Matting from a Single Image Using Deep Learning
This paper proposes a deep learning based method for colored transparent object matting from a single image. Existing approaches for transparent object matting often require multiple images and long processing times, whi…
Image MattingObjectTransparent objectsLIT: Light-field Inference of Transparency for Refractive Object Localization
Translucency is prevalent in everyday scenes. As such, perception of transparent objects is essential for robots to perform manipulation. Compared with texture-rich or texture-less Lambertian objects, transparency induce…
ObjectObject LocalizationPose EstimationTransparent objectsGlassLoc: Plenoptic Grasp Pose Detection in Transparent Clutter
Transparent objects are prevalent across many environments of interest for dexterous robotic manipulation. Such transparent material leads to considerable uncertainty for robot perception and manipulation, and remains an…
Transparent objects