We tackle the problem of estimating a Manhattan frame, ie three orthogonal vanishing
points, and the unknown focal length of the camera, leveraging a prior vertical direction. The …

In the field of vanishing point detection, previous works commonly relied on extracting and
clustering straight lines or classifying candidate points as vanishing points. This paper …

Vanishing point (VP) detection in road images plays an important role in driving scenes for
advanced driver assistance systems (ADAS) and autonomous vehicles. Because it is still a …

In this paper, we propose a novel transformer-based end-to-end real-time vanishing point
detection method, which is named Vanishing Point TRansformer (VPTR). The proposed …

A Manhattan world lying along cuboid buildings is useful for camera angle estimation.
However accurate and robust angle estimation from fisheye images in the Manhattan world …

Previous camera self-calibration methods have exhibited certain notable shortcomings. On
the one hand, they either exclusively emphasized scene cues or solely focused on vehicle …

Existing line segment detectors break perceptually contiguous linear structures into multiple
line segments. This can be offset by re-merging the segments, but existing merging …

Due to the effects of quantization error and image noise, detecting 'meaningful'line segments
from an image with high continuity is a challenging task. To pursue this goal, a novel line …

Edge-drawing methods have gained increasing popularity in line segment detection due to
their notable efficiency. However, existing algorithms commonly impose a pre-determined …

We introduce in this paper a novel structure-enhanced VP detector, CollabVP, which uses a
multi-task learning frame-work to estimate multiple horizontal vanishing points (VPs) from a …