Titlebook: Image Analysis and Processing – ICIAP 2022; 21st International C Stan Sclaroff,Cosimo Distante,Federico Tombari Conference proceedings 2022

Cardiac-Output

Temporal Up-Sampling of LIDAR Measurements Based on a Mono Cameraper proposes a solution to virtually increase the frame rate of the LIDARs utilizing a mono camera, making possible the monitoring of dynamic objects with fast movement in the environment. First, dynamic object candidates are detected and tracked in the camera frames. Next, LIDAR points correspondin

萤火虫

StandardSim: A Synthetic Dataset for Retail Environmentss present unique challenges compared to typical indoor scenes owing to the vast number of densely packed, unique yet similar objects. The problem becomes even more difficult when only RGB input is available, especially for data-hungry tasks such as instance segmentation. To address the lack of datas

平常

A Strong Geometric Baseline for Cross-View Matching of Multi-person 3D Pose Estimation from Multi-viach image separately (e.g. by a deep learning algorithm), the next step is matching the individuals on the different images. In the present contribution, a novel non-deep learning and parameter-free algorithm is developed to this end, which is only based on geometrical cues (i.e. reprojection errors

不在灌木丛中

Multi-view 3D Objects Localization from Street-Level Scenesucted from multi-view images and leverages 2D instance segmentation to find all objects within the scene and to generate for each object the corresponding cluster of 3D points and matched 2D detections. The proposed approach is robust to changes in image sizes, viewpoint changes, and changes in the

强制令

glisten

Efficient View Clustering and Selection for City-Scale 3D Reconstructionovel approach for scaling Multi-View Stereo (MVS) algorithms up to arbitrarily large collections of images is proposed. Specifically, the problem of reconstructing the 3D model of an entire city is targeted, starting from a set of videos acquired by a moving vehicle equipped with several high-resolu

Harridan

U Can’t (re)Touch This – A Deep Learning Approach for Detecting Image Retouchingoffense in most cases, retouched images can have a number of negative effects..The goal of this work is to provide a solution for an automatic recognition of image retouching. For this, we adapt a well known convolutional neural network (CNN) from [.] to the domain of RGB images and create a data se

无礼回复

A Robust and Efficient Overhead People Counting System for Retail Applicationsever, despite the great advances in modern neural networks, it is far from simple to train effective systems in all possible real-world scenarios. The main problem is that the publicly available datasets are not sufficiently representative or are not annotated for this purpose. To this aim, in this

发誓放弃

anthropologist