Results 231 to 240 of about 735,587 (270)
DAS: Efficient Street View Image Sampling for Urban Prediction
ACM Transactions on Intelligent Systems and Technology, 2023 Street view data is one of the most common data sources for urban prediction tasks, such as estimating socioeconomic status, sensing physical urban changes, and identifying urban villages. Typical research in this field consists of two steps: acquiring a dataset with a street view image sampling algorithm and designing a prediction algorithm for urban ...
Guozhen Zhang, Jinhui Yi, Jian Yuan
exaly +2 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Classification of sidewalks in street view images
2013 International Green Computing Conference Proceedings, 2013Mapping sidewalks in urban environments is key in the creation of pedestrian-friendly, sustainable cities. Currently, urban planners are hindered by a lack of information available in a format suitable for the large-scale analysis of sidewalk design. To demonstrate the impact that information technology could have in this area, we leverage techniques ...
Virginia Smith +2 more
openaire +1 more source
Multiple view semantic segmentation for street view images
2009 IEEE 12th International Conference on Computer Vision, 2009We propose a simple but powerful multi-view semantic segmentation framework for images captured by a camera mounted on a car driving along streets. In our approach, a pair-wise Markov Random Field (MRF) is laid out across multiple views. Both 2D and 3D features are extracted at a super-pixel level to train classifiers for the unary data terms of MRF ...
Jianxiong Xiao, Long Quan
openaire +1 more source
Street View Image Retrieval with Average Pooling Features
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020Street view image retrieval is a challenging subject due to the complexity of the street view. Such images contain a large number of similarly structured buildings and are obscured by other objects such as pedestrians and vehicles. In this paper, we present a street view image retrieval system based on average pooling features and SIFT (Scale-invariant
Yumin Chen, Huangyuan Tan
exaly +2 more sources
Generating dynamic street view images
SPIE Proceedings, 2016In the contemporary age, usage of the street view systems like Google Street View is becoming increasingly common. These systems, make the visualization of the real street ambience easier on the Geographic Information System and also aids the users to effortlessly plan and determine their intended place of travel.
Fay Huang +2 more
openaire +1 more source
Joining Street-View Images and Building Footprint GIS Data
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, 2021This paper proposes a new method to join building footprint GIS data with the relevant buildings in a street-view image, taken by a vehicle-mounted camera. This is achieved by segmenting buildings in the street-view images and identifying the relevant building coordinates in the image.
Yoshiki Ogawa +3 more
openaire +1 more source
Automatic face detection system for street view images
2012 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2012As street view images have been widely used in digital maps, detecting and blurring faces in these images for privacy protection is highly needed. In this paper, an automatic face detection system for street view images is constructed. Firstly, image pre-processing is used to increase image's global contrast.
Xin Yang, Xingang Wang
openaire +1 more source