Computer vision for autonomous vehicles: Problems, datasets and state of the art
Recent years have witnessed enormous progress in AI-related fields such as computer
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …
Barf: Bundle-adjusting neural radiance fields
Abstract Neural Radiance Fields (NeRF) have recently gained a surge of interest within the
computer vision community for its power to synthesize photorealistic novel views of real …
computer vision community for its power to synthesize photorealistic novel views of real …
Learning depth from monocular videos using direct methods
The ability to predict depth from a single image-using recent advances in CNNs-is of
increasing interest to the vision community. Unsupervised strategies to learning are …
increasing interest to the vision community. Unsupervised strategies to learning are …
Pixel-perfect structure-from-motion with featuremetric refinement
Finding local features that are repeatable across multiple views is a cornerstone of sparse
3D reconstruction. The classical image matching paradigm detects keypoints per-image …
3D reconstruction. The classical image matching paradigm detects keypoints per-image …
Bad slam: Bundle adjusted direct rgb-d slam
A key component of Simultaneous Localization and Map** (SLAM) systems is the joint
optimization of the estimated 3D map and camera trajectory. Bundle adjustment (BA) is the …
optimization of the estimated 3D map and camera trajectory. Bundle adjustment (BA) is the …
Local-to-global registration for bundle-adjusting neural radiance fields
Abstract Neural Radiance Fields (NeRF) have achieved photorealistic novel views
synthesis; however, the requirement of accurate camera poses limits its application. Despite …
synthesis; however, the requirement of accurate camera poses limits its application. Despite …
Colored point cloud registration revisited
We present an algorithm for tightly aligning two colored point clouds. The key idea is to
optimize a joint photometric and geometric objective that locks the alignment along both the …
optimize a joint photometric and geometric objective that locks the alignment along both the …
Bad-nerf: Bundle adjusted deblur neural radiance fields
Abstract Neural Radiance Fields (NeRF) have received considerable attention recently, due
to its impressive capability in photo-realistic 3D reconstruction and novel view synthesis …
to its impressive capability in photo-realistic 3D reconstruction and novel view synthesis …
A survey on conventional and learning‐based methods for multi‐view stereo
EK Stathopoulou, F Remondino - The Photogrammetric Record, 2023 - Wiley Online Library
Abstract 3D reconstruction of scenes using multiple images, relying on robust
correspondence search and depth estimation, has been thoroughly studied for the two‐view …
correspondence search and depth estimation, has been thoroughly studied for the two‐view …
Ba-net: Dense bundle adjustment network
This paper introduces a network architecture to solve the structure-from-motion (SfM)
problem via feature-metric bundle adjustment (BA), which explicitly enforces multi-view …
problem via feature-metric bundle adjustment (BA), which explicitly enforces multi-view …