Add to ORKGIn this article interactive visualization techniques for creating virtual objects are considered. We describe the most common methods of photometric transformations between images and a variety of geometric objects contextualized against the backdrop of increased adoption of 360 videos and virtual reality systems. Two techniques, the Harris-Laplacian and the Scale Invariant Feature Transform (SIFT) have been described. The algorithm estimation of virtual objects interactive visualization is given. The image-matching algorithm using key points is described
Augmented Reality can merge the computer-generated objects into the real image or video sequences, ...
This paper addresses how to construct features for the problem of image correspondence, in particula...
This paper presents a novel approach for matching 2D points between a video projector and a digital ...
This paper presents a method for extracting distinctive invariant features from images that can be u...
Image matching is an important stage of many computer vision tasks including image registration, obj...
A concept named Photometric Image-Based Rendering (PIBR) is introduced for a seamless augmented real...
In this report we address the problem of matching two images with two different resolutions: a high-...
Abstract—This paper proposes a novel method for matching images. The results can be used for a varie...
Numerous scale-invariant feature matching algorithms using scale-space analysis have been proposed f...
Stereo vision is a method of depth perception, in which depth information is inferred from two (or m...
This article presents a detailed description and implementation of the Scale Invariant FeatureTransf...
Much attention is paid to registration of terrestrial point clouds nowadays. Research is carried out...
National audienceThis paper presents a new method for image matching in the presence of large scale ...
For the output of an augmented reality application to appear realistic a number of issues need to b...
Photometric reconstruction is the process of estimating the illumination and surface reflectance pro...
Augmented Reality can merge the computer-generated objects into the real image or video sequences, ...
This paper addresses how to construct features for the problem of image correspondence, in particula...
This paper presents a novel approach for matching 2D points between a video projector and a digital ...
This paper presents a method for extracting distinctive invariant features from images that can be u...
Image matching is an important stage of many computer vision tasks including image registration, obj...
A concept named Photometric Image-Based Rendering (PIBR) is introduced for a seamless augmented real...
In this report we address the problem of matching two images with two different resolutions: a high-...
Abstract—This paper proposes a novel method for matching images. The results can be used for a varie...
Numerous scale-invariant feature matching algorithms using scale-space analysis have been proposed f...
Stereo vision is a method of depth perception, in which depth information is inferred from two (or m...
This article presents a detailed description and implementation of the Scale Invariant FeatureTransf...
Much attention is paid to registration of terrestrial point clouds nowadays. Research is carried out...
National audienceThis paper presents a new method for image matching in the presence of large scale ...
For the output of an augmented reality application to appear realistic a number of issues need to b...
Photometric reconstruction is the process of estimating the illumination and surface reflectance pro...
Augmented Reality can merge the computer-generated objects into the real image or video sequences, ...
This paper addresses how to construct features for the problem of image correspondence, in particula...
This paper presents a novel approach for matching 2D points between a video projector and a digital ...