Recent advances on image edge detection: A comprehensive review
Edge detection is one of the most important and fundamental problems in the field of
computer vision and image processing. Edge contours extracted from images are widely …
computer vision and image processing. Edge contours extracted from images are widely …
An overview of emerging results in cooperative UAV control
A Ryan, M Zennaro, A Howell… - 2004 43rd IEEE …, 2004 - ieeexplore.ieee.org
Inexpensive fixed wing UAV are increasingly useful in remote sensing operations. They are
a cheaper alternative to manned vehicles, and are ideally suited for dangerous or …
a cheaper alternative to manned vehicles, and are ideally suited for dangerous or …
Target classification using the deep convolutional networks for SAR images
The algorithm of synthetic aperture radar automatic target recognition (SAR-ATR) is
generally composed of the extraction of a set of features that transform the raw input into a …
generally composed of the extraction of a set of features that transform the raw input into a …
Foundpose: Unseen object pose estimation with foundation features
We propose FoundPose, a model-based method for 6D pose estimation of unseen objects
from a single RGB image. The method can quickly onboard new objects using their 3D …
from a single RGB image. The method can quickly onboard new objects using their 3D …
Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes
We present a method for detecting 3D objects using multi-modalities. While it is generic, we
demonstrate it on the combination of an image and a dense depth map which give …
demonstrate it on the combination of an image and a dense depth map which give …
Gradient response maps for real-time detection of textureless objects
We present a method for real-time 3D object instance detection that does not require a time-
consuming training stage, and can handle untextured objects. At its core, our approach is a …
consuming training stage, and can handle untextured objects. At its core, our approach is a …
[書籍][B] Machine vision algorithms and applications
Die zweite Auflage dieses erfolgreichen Lehrbuchs zum maschinellen Sehen ist vollständig
aktualisiert, überarbeitet und erweitert, um die Entwicklungen der vergangenen Jahre auf …
aktualisiert, überarbeitet und erweitert, um die Entwicklungen der vergangenen Jahre auf …
Pedestrian detection in crowded scenes
In this paper, we address the problem of detecting pedestrians in crowded real-world scenes
with severe overlaps. Our basic premise is that this problem is too difficult for any type of …
with severe overlaps. Our basic premise is that this problem is too difficult for any type of …
Real-time object detection for" smart" vehicles
DM Gavrila, V Philomin - Proceedings of the Seventh IEEE …, 1999 - ieeexplore.ieee.org
This paper presents an efficient shape-based object detection method based on Distance
Transforms and describes its use for real-time vision on-board vehicles. The method uses a …
Transforms and describes its use for real-time vision on-board vehicles. The method uses a …
Model-based hand tracking using a hierarchical bayesian filter
This paper sets out a tracking framework, which is applied to the recovery of three-
dimensional hand motion from an image sequence. The method handles the issues of …
dimensional hand motion from an image sequence. The method handles the issues of …