In this paper, we derive a linear constraint for planar motion leveraging scale- and orientation-covariant features, e.g., SIFT, which is used to create a novel minimal solver for planar motion requiring only a single covariant feature. We compare ...$$

This article proposes a network, referred to as Multi-View Stereo TRansformer (MVSTR) for depth estimation from multi-view images. By modeling long-range dependencies and epipolar geometry, the proposed MVSTR is capable of extracting dense features with ...

In this paper, we propose a method for estimating the parameters of camera movement from images obtained from this camera. This method is equally effectively applicable to flat and three-dimensional scenes. The proposed method allows avoiding the ...

Full surround 3D imaging for shape acquisition is essential for generating digital replicas of real-world objects. Surrounding an object we seek to scan with a kaleidoscope, that is, a configuration of multiple planar mirrors, produces an image of the ...

In this paper, we prove mathematically that the geometric derivation of the fundamental matrix F of the two-view reconstruction problem is flawed. Although the fundamental matrix approach is quite classic, it is still taught in universities around the ...

This article presents a global 3D human pose estimation method for markerless motion capture. Given two calibrated images of a person, it first obtains the 2D joint locations in the images using a pre-trained 2D Pose CNN, then constructs the 3D pose ...

Multi-object tracking (MOT) is an important topic and critical task related to both static and moving camera applications, such as traffic flow analysis, autonomous driving and robotic vision. However, due to unreliable detection, occlusion and fast ...

The essential matrix, which encodes the epipolar constraint between points in two projective views, is a cornerstone of modern computer vision. Previous works have proposed different characterizations of the space of essential matrices as a Riemannian ...

Significant colour discrepancies between stereo images have severe impacts on stereo matching algorithms, which depend on colour similarity. To address this problem, a region‐wise colour correction method is proposed in this study. First, the source image,...

In computer vision, it is a challenge to compute the relationship of multiple views from scene images. The view relationship can be obtained from the fundamental matrix. Thus, it is very important to compute an accurate fundamental matrix from unevenly ...

Wide baseline stereo matching is a challenging task because of the presence of significant geometric deformations and illumination changes within the images. Based on the scale invariant feature transformation (SIFT) algorithm, this study proposes a new ...

The problem of reconstructing 3D scenes using stereopairs of images is considered. In contrast to traditional technologies whereby the rectification and disparity map construction are implemented, the corresponding points are determined directly on the ...

We present four methods for recovering the epipolar geometry from images of smooth surfaces. In the existing methods for recovering epipolar geometry corresponding feature points are used that cannot be found in such images. The first method is based on ...

In this paper, we present an efficient new approach for solving two-view minimal-case problems in camera motion estimation, most notably the so-called five-point relative orientation problem and the six-point focal-length problem. Our approach is based ...

An important step in the analysis and interpretation of video scenes for recognizing scenario is the aberration corrections introduced during the image acquisition in order to provide and correct real image data. This paper presents an approach on ...

We present a new video stabilization technique that uses projective scene reconstruction to treat jittered video sequences. Unlike methods that recover the full three-dimensional geometry of the scene, this model accounts for simple geometric relations ...

This paper investigates the parallax error, which is a common problem of many video-based monocular mobile gaze trackers. The parallax error is defined and described using the epipolar geometry in a stereo camera setup. The main parameters that change ...

The present article proposes a Structure from Motion (SfM) methodology to recover the liver surface from endoscopic video sequences. Features from an imaged liver are extracted and tracked for the complete sequence to generate a correspondences lookup ...

In this paper, we present a low-cost solution for real-time tracking of a human user's head position with respect to a video display source for eye gaze estimation in an assistive setting. The solution utilizes a wearable headset equipped with sensors ...

In this paper, an efficient algorithm for 3D Reconstruction and Depth measurement using stereo images is presented. In this algorithm, key-points are extracted using SIFT feature point detection method. Fundamental matrix in the epipolar geometry is ...