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Semantically guided location recognition for outdoors scenes

Arsalan Mousavian, Jana Kosecka, Jyh-Ming Lien
2015 2015 IEEE International Conference on Robotics and Automation (ICRA)  
the overall location recognition accuracy.  ...  We also demonstrate additional capability of identifying individual buildings and estimating their extent in images, providing the essential building block for sub-sequent geo-location.  ...  Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright annotation thereon.  ... 
doi:10.1109/icra.2015.7139877 dblp:conf/icra/MousavianKL15 fatcat:2rccpkxftvbr7dmwxwq42s4qee

A Survey on Outdoor Scene Image Segmentation

Elizabeth SamaSam, A. Kethsy Prabhavathy, J. Devi Shree
2012 International Journal of Computer Applications  
This paper describes the different segmentation techniques used to achieve outdoor scene image segmentation.  ...  Several general-purpose algorithms and techniques have been developed for image segmentation.  ...  Fig 6 illustrates the result of implementation of outdoor scene image segmentation based on background recognition and perceptual organization.  ... 
doi:10.5120/8781-2752 fatcat:ml4hrpdesfdszbxeugf4islrp4

Wearable Travel Aid for Environment Perception and Navigation of Visually Impaired People

Jinqiang Bai, Zhaoxiang Liu, Yimin Lin, Ye Li, Shiguo Lian, Dijun Liu
2019 Electronics  
Human–machine interaction is performed through audio module (a beeping sound for obstacle alert, speech recognition for understanding the user commands, and speech synthesis for expressing semantic information  ...  It can provide the semantic information of surroundings, such as the categories, locations, and orientations of objects.  ...  We also thank the anonymous reviewers for the insightful comments and valuable suggestions. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/electronics8060697 fatcat:o65dyq4mxne4zaj42r4mj2z4vy

Improving access of elderly people to real environments

Fabio Pittarello, Alessandro De Faveri
2006 Proceedings of the working conference on Advanced visual interfaces - AVI '06  
A case study related to the creation of a guided tour through the indoor and outdoor locations of the city of Venice, accessible through a multimodal web browser, is presented.  ...  This work proposes an approach for helping users with different skills, including elderly people, to navigate through complex real scenes; such approach is based on the semantic description of the objects  ...  of the environment, for the generation of the guided tour.  ... 
doi:10.1145/1133265.1133341 dblp:conf/avi/PittarelloF06 fatcat:apqkjr2mcfagvpdmsh2rek7uga

The influence of scene context on object recognition is independent of attentional focus

Jaap Munneke, Valentina Brentari, Marius V. Peelen
2013 Frontiers in Psychology  
These results indicate that a semantically consistent scene context benefits object recognition independently of the focus of attention.  ...  a beach) relative to semantically inconsistent scenes (e.g., a sandcastle on a football field).  ...  Davenport for providing us with the stimuli used in Experiment 1.  ... 
doi:10.3389/fpsyg.2013.00552 pmid:23970878 pmcid:PMC3748376 fatcat:nntg6qjg7jgexigqj4wusoqf4y

Verisimilar Image Synthesis for Accurate Detection and Recognition of Texts in Scenes [article]

Fangneng Zhan, Shijian Lu, Chuhui Xue
2018 arXiv   pre-print
This paper presents a novel image synthesis technique that aims to generate a large amount of annotated scene text images for training accurate and robust scene text detection and recognition models.  ...  Second, it exploits visual saliency to determine the embedding locations within each semantic sensible region, which coincides with the fact that texts are often placed around homogeneous regions for better  ...  The indoor images mainly capture signs, doorplates and caution plates while the outdoor images mostly capture guide boards and billboards with complex background.  ... 
arXiv:1807.03021v2 fatcat:7hrptdwfffgczkog2fng5nvkam

Influence of peripheral vision on object categorization in central vision

Alexia Roux-Sibilon, Audrey Trouilloud, Louise Kauffmann, Nathalie Guyader, Martial Mermillod, Carole Peyrin
2019 Journal of Vision  
Predictive models of visual recognition state that predictions based on the rapid processing of low spatial frequencies (LSF) may guide the subsequent processing of high spatial frequencies (HSF).  ...  The study suggests that the low resolution of peripheral vision facilitates the processing of foveated objects in the visual scene, in line with predictive models of visual recognition.  ...  We thank Valerie Goffaux and Kevin Parisot for their help with the stimuli. Commercial relationships: none. Corresponding author: Alexia Roux-Sibilon.  ... 
doi:10.1167/19.14.7 pmid:31826252 fatcat:xwru42c2qvhufnosk4ty4yx2dq

What do we perceive in a glance of a real-world scene?

Li Fei-Fei, Asha Iyer, Christof Koch, Pietro Perona
2007 Journal of Vision  
But once subjects recognize more semantic-level components of a scene, there is little evidence suggesting any bias toward either scene-level or object-level recognition.  ...  Subjects tend to have a propensity toward perceiving natural scenes as being outdoor rather than indoor.  ...  Similarly, most of the green dots are located on the y-axis. In Figures 9a-9d , we observed a very clear trend of an early bias for outdoor images.  ... 
doi:10.1167/7.1.10 pmid:17461678 fatcat:lja2ybr4k5f5xoav3zubxipvti

Guidance of visual attention by semantic information in real-world scenes

Chia-Chien Wu, Farahnaz Ahmed Wick, Marc Pomplun
2014 Frontiers in Psychology  
We review work from the areas of object recognition, scene perception, and visual search, highlighting recent studies examining semantic structure in real-world scenes.  ...  Recent research on attentional guidance in real-world scenes has focused on object recognition within the context of a scene.  ...  The authors would like to thank Hsueh-Cheng Wang and Lucia Saura for their comments on earlier versions of this text.  ... 
doi:10.3389/fpsyg.2014.00054 pmid:24567724 pmcid:PMC3915098 fatcat:ardc42rc2jfxbe2nqttygtdzey

Real-time monocular image-based 6-DoF localization

Hyon Lim, Sudipta N. Sinha, Michael F. Cohen, Matt Uyttendaele, H. Jin Kim
2015 The international journal of robotics research  
In this paper we present a new real-time image-based localization method for scenes that have been reconstructed offline using structure from motion.  ...  We have evaluated our method using ground truth and present results on several challenging indoor and outdoor sequences.  ...  and city-scale location recognition (Schindler et al., 2007) .  ... 
doi:10.1177/0278364914561101 fatcat:sfo2sekbtrcvlmw7ktngl2snkq

Layout-induced Video Representation for Recognizing Agent-in-Place Actions [article]

Ruichi Yu, Hongcheng Wang, Ang Li, Jingxiao Zheng, Vlad I. Morariu, Larry S. Davis
2019 arXiv   pre-print
We address the recognition of agent-in-place actions, which are associated with agents who perform them and places where they occur, in the context of outdoor home surveillance.  ...  LIVR partitions the semantic features of a video clip into different places to force the network to learn place-based feature descriptions; to predict the confidence of each action, LIVR aggregates features  ...  Examples of these actions in outdoor home surveillance scenarios and the semantic segmentation maps of scenes are shown in Fig.1 .  ... 
arXiv:1804.01429v3 fatcat:vxivhlsmyjav7bdnb5giuisqye

Semantic-Aware Scene Recognition [article]

Alejandro López-Cifuentes, Marcos Escudero-Viñolo, Jesús Bescós, Álvaro García-Martín
2019 arXiv   pre-print
All the code and data used along this paper is available at  ...  In this paper, we describe a novel approach for scene recognition based on an end-to-end multi-modal CNN that combines image and context information by means of an attention module.  ...  trained for scene recognition to methods using objects to drive scene recognition.  ... 
arXiv:1909.02410v2 fatcat:jsie5zsctzc73nyav53qqv27vi

Is Coarse-to-Fine Strategy Sensitive to Normal Aging?

Benoit Musel, Alan Chauvin, Nathalie Guyader, Sylvie Chokron, Carole Peyrin, Claude Alain
2012 PLoS ONE  
However, sequence processing interacts with semantic category only for aged participants.  ...  Young and aged participants performed a categorization task (indoor vs. outdoor scenes), using dynamic natural scene stimuli, in which they resorted to either a coarse-to-fine (CtF) sequence or a reverse  ...  We thank Catherine Dal Molin for the English revision of the manuscript. Author Contributions  ... 
doi:10.1371/journal.pone.0038493 pmid:22675568 pmcid:PMC3366939 fatcat:ko5ee7a4znhfpglpkezdqtntze

Occlusion cues for image scene layering

Xiaowu Chen, Qing Li, Dongyue Zhao, Qinping Zhao
2013 Computer Vision and Image Understanding  
The experiments on rural, artificial and outdoor scene datasets show the effectiveness of our method for occlusion relationship prediction and image scene layering.  ...  These cues are semantic cue, position cue, compactness cue, shared boundary cue and junction cue.  ...  Acknowledgments We would like to thank the anonymous reviewers for helpful suggestions, Yi Liu for data processing.  ... 
doi:10.1016/j.cviu.2012.10.001 fatcat:noqh7nyikjcepptxe25u467s4y

The Semantic Paintbrush

Ondrej Miksik, Philip H.S. Torr, Vibhav Vineet, Morten Lidegaard, Ram Prasaath, Matthias Nießner, Stuart Golodetz, Stephen L. Hicks, Patrick Pérez, Shahram Izadi
2015 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems - CHI '15  
We present an augmented reality system for large scale 3D reconstruction and recognition in outdoor scenes.  ...  Unlike existing prior work, which tries to reconstruct scenes using active depth cameras, we use a purely passive stereo setup, allowing for outdoor use and extended sensing range.  ...  More specifically, we present a novel augmented reality (AR) system for large scale 3D reconstruction and recognition in outdoor scenes.  ... 
doi:10.1145/2702123.2702222 dblp:conf/chi/MiksikVLPNGHPIT15 fatcat:sojvhdnxbvfefgumxtepzffdym
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