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Found 7 papers, 1 papers with code
Single-image driven 3d viewpoint training data augmentation for effective wine label recognition
Confronting the critical challenge of insufficient training data in the field of complex image recognition, this paper introduces a novel 3D viewpoint augmentation technique specifically tailored for wine label recognition.
PartDistill: 3D Shape Part Segmentation by Vision-Language Model Distillation
This paper proposes a cross-modal distillation framework, PartDistill, which transfers 2D knowledge from vision-language models (VLMs) to facilitate 3D shape part segmentation.
Pentagon-Match (PMatch): Identification of View-Invariant Planar Feature for Local Feature Matching-Based Homography Estimation
Experimental results show that highly accurate estimation of homography can be obtained efficiently for planar scenes of the HPatches dataset, based on keypoint matching results provided by LoFTR.
Equivalence of Two Expressions of Principal Line
Geometry-based camera calibration using principal line is more precise and robust than calibration using optimization approaches; therefore, several researches try to re-derive the principal line from different views of 2D projective geometry to increase alternatives of the calibration process.
A Geometrically Constrained Point Matching based on View-invariant Cross-ratios, and Homography
In computer vision, finding point correspondence among images plays an important role in many applications, such as image stitching, image retrieval, visual localization, etc.
Visualizing and Alleviating the Effect of Radial Distortion on Camera Calibration Using Principal Lines
Preparing appropriate images for camera calibration is crucial to obtain accurate results.
A New Technique of Camera Calibration: A Geometric Approach Based on Principal Lines
Camera calibration is a crucial prerequisite in many applications of computer vision.
