Convolutional neural network (CNN) has achieved remarkable success in the field of fundus
images due to its powerful feature learning ability. Computer-aided diagnosis can obtain …

Retinal images are a key element for ophthalmologists in diagnosing a variety of eye
illnesses. The retina is vulnerable to microvascular changes as a result of many retinal …

In the attainment of digitization and sustainable solutions under Industry 4.0, effective and
economical technology like photogrammetry is gaining popularity in every field among …

Fully perceiving the surrounding world is a vital capability for autonomous robots. To
achieve this goal, a multi-camera system is usually equipped on the data collecting platform …

Abstract Structure from motion (SfM) recovers scene structures and camera poses based on
feature matching, and faces challenges from ambiguous scenes. There are a large number …

Three-dimensional reconstruction is a key technology employed to represent virtual reality in
the real world, which is valuable in computer vision. Large-scale 3D models have broad …

With the popularization of smartphones, larger collection of videos with high quality is
available, which makes the scale of scene reconstruction increase dramatically. However …

In this paper, we present a simple yet effective rotation averaging pipeline, termed
Incremental Rotation Averaging (IRA), which is inspired by the well-developed incremental …

The structure from motion (SfM) method has achieved great success in 3D sparse
reconstruction, but it still faces serious challenges in large-scale scenes. Existing hybrid SfM …

We present IRAv3, which is built upon the state-of-the-art rotation averaging method, IRA++,
to push this fundamental task in 3D computer vision one step further. The key observation of …