Effects of Transient and Nontransient Changes of Surface Feature on Object Correspondence

Perception ◽  
2020 ◽  
Vol 49 (4) ◽  
pp. 452-467 ◽  
Author(s):  
Hao Jiang
Keyword(s):  
Moving Objects ◽  
Fundamental Problem ◽  
Surface Feature ◽  
Three Dimensions ◽  
Surface Features ◽  
Color Dimension ◽  
Object Correspondence ◽  
Spatiotemporal Information ◽  
Feature Change ◽  
Transient Feature

Object correspondence is a fundamental problem in perception. Classic theories hold that the computation of correspondence is solely based on spatiotemporal information. Recent research showed that surface features also play an important role. However, the surface features of objects in many studies did not change throughout a trial. This study investigated the effect of feature change on object correspondence using the object-reviewing paradigm. Two moving objects underwent transient feature changes on color dimension (Experiment 1A) or a combination of three dimensions (Experiment 2A). Moreover, the objects moved behind four occluders to make the feature change nontransient (Experiments 1B and 2B). Object-specific preview benefits were reduced or eliminated when feature changes were transient, but the benefits were not affected when feature changes were nontransient. The effects of transient versus nontransient changes of surface feature in object correspondence are discussed.

scholarly journals Photogrammetric and Satellite Mapping of the Margin of the Inland Ice, West Greenland

1986 ◽  
Vol 8 ◽  
pp. 164-167 ◽  
Author(s):  
H.H. Thomsen
Keyword(s):  
Surface Feature ◽  
Aerial Photographs ◽  
Water Drainage ◽  
Feature Maps ◽  
Hydro Power ◽  
Surface Features ◽  
Power Stations ◽  
Run Off ◽  
Set Up ◽  
Inland Ice

Glaciological investigations have been carried out in areas proposed for local hydro-power stations in Greenland, A mapping programme was set up, to provide data for mass balance and simulation of run-off, as well as glacier dynamics.Two types of glacier map have been produced, covering the margin of the Inland Ice: detailed photogrammetric maps, based on plotting from vertical aerial photographs and a new type of surface feature map, based on digitally-processed Landsat data. The photogrammetric maps, plotted on a scale of 1:25 000, include surface topography and surface features, such as crevasses, lakes, moraines etc. The surface feature maps, plotted on a scale of 1:100 000, show surface features related to ice and melt-water drainage, as well as subtle, topographic features, related to the subglacial topography.The maps have so far been used for preliminary delineation of drainage areas on the Inland Ice and for planning tracks of radio echo-soundings.

scholarly journals Characterizing Arctic sea ice topography using high-resolution IceBridge data

2016 ◽  
Vol 10 (3) ◽  
pp. 1161-1179 ◽  
Author(s):  
Alek A. Petty ◽  
Michel C. Tsamados ◽  
Nathan T. Kurtz ◽  
Sinead L. Farrell ◽  
Thomas Newman ◽  
...  
Keyword(s):  
High Resolution ◽  
Sea Ice ◽  
Arctic Sea Ice ◽  
Surface Feature ◽  
Ice Thickness ◽  
First Year ◽  
Data Set ◽  
Surface Features ◽  
Developed Surface ◽  
Arctic Sea

Abstract. We present an analysis of Arctic sea ice topography using high-resolution, three-dimensional surface elevation data from the Airborne Topographic Mapper, flown as part of NASA's Operation IceBridge mission. Surface features in the sea ice cover are detected using a newly developed surface feature picking algorithm. We derive information regarding the height, volume and geometry of surface features from 2009 to 2014 within the Beaufort/Chukchi and Central Arctic regions. The results are delineated by ice type to estimate the topographic variability across first-year and multi-year ice regimes. The results demonstrate that Arctic sea ice topography exhibits significant spatial variability, mainly driven by the increased surface feature height and volume (per unit area) of the multi-year ice that dominates the Central Arctic region. The multi-year ice topography exhibits greater interannual variability compared to the first-year ice regimes, which dominates the total ice topography variability across both regions. The ice topography also shows a clear coastal dependency, with the feature height and volume increasing as a function of proximity to the nearest coastline, especially north of Greenland and the Canadian Archipelago. A strong correlation between ice topography and ice thickness (from the IceBridge sea ice product) is found, using a square-root relationship. The results allude to the importance of ice deformation variability in the total sea ice mass balance, and provide crucial information regarding the tail of the ice thickness distribution across the western Arctic. Future research priorities associated with this new data set are presented and discussed, especially in relation to calculations of atmospheric form drag.

scholarly journals Comparing experts and novices in Martian surface feature change detection and identification

2018 ◽  
Vol 64 ◽  
pp. 354-364 ◽  
Author(s):  
Jessica Wardlaw ◽  
James Sprinks ◽  
Robert Houghton ◽  
Jan-Peter Muller ◽  
Panagiotis Sidiropoulos ◽  
...  
Keyword(s):  
Change Detection ◽  
Surface Feature ◽  
Martian Surface ◽  
Feature Change ◽  
Detection And Identification

scholarly journals Foreground Detection with Deeply Learned Multi-Scale Spatial-Temporal Features

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4269 ◽  
Author(s):  
Yao Wang ◽  
Zujun Yu ◽  
Liqiang Zhu
Keyword(s):  
Neural Network ◽  
Moving Objects ◽  
Fundamental Problem ◽  
Image Features ◽  
Foreground Detection ◽  
Training Procedure ◽  
Spatial And Temporal Scales ◽  
Multi Scale ◽  
Temporal Features ◽  
Background Models

Foreground detection, which extracts moving objects from videos, is an important and fundamental problem of video analysis. Classic methods often build background models based on some hand-craft features. Recent deep neural network (DNN) based methods can learn more effective image features by training, but most of them do not use temporal feature or use simple hand-craft temporal features. In this paper, we propose a new dual multi-scale 3D fully-convolutional neural network for foreground detection problems. It uses an encoder–decoder structure to establish a mapping from image sequences to pixel-wise classification results. We also propose a two-stage training procedure, which trains the encoder and decoder separately to improve the training results. With multi-scale architecture, the network can learning deep and hierarchical multi-scale features in both spatial and temporal domains, which is proved to have good invariance for both spatial and temporal scales. We used the CDnet dataset, which is currently the largest foreground detection dataset, to evaluate our method. The experiment results show that the proposed method achieves state-of-the-art results in most test scenes, comparing to current DNN based methods.

Motion Planning With Convex Swept Volume Segments

1996 ◽  
Author(s):  
Chiusheng Wu ◽  
Roger W. Mayne
Keyword(s):  
Motion Planning ◽  
Moving Objects ◽  
Planning Process ◽  
Optimization Methods ◽  
Three Dimensions ◽  
Robot Motion ◽  
Optimization Strategy ◽  
Swept Volumes ◽  
Volume Strategy ◽  
Swept Volume

Abstract This paper presents a swept volume approach for distance-to-contact computation in motion planning. The approach is based on approximating the swept volumes of moving objects with convex segments formulated for the use of quadratic programming in distance-to-contact calculations. This swept volume strategy is designed to conservatively estimate the distance-to-contact between moving and static objects and is well suited for the planning of motions using optimization methods. It has been adapted to obtain convenient distance-to-contact gradient information which is an important factor in the application of efficient optimization algorithms to the motion planning process. The paper describes the generation of the swept volume segments and applies the process to examples of robot motion planning in three dimensions using an SQP optimization strategy.

Surface Completion Complements Boundary Interpolation in the Visual Integration of Partly Occluded Objects

Perception ◽  
1997 ◽  
Vol 26 (11) ◽  
pp. 1459-1479 ◽  
Author(s):  
Carol Yin ◽  
Philip J Kellman ◽  
Thomas F Shipley
Keyword(s):  
Paired Comparison ◽  
Surface Feature ◽  
Visual Integration ◽  
Surface Features ◽  
Occluded Objects ◽  
Perceptual Completion ◽  
Feature Similarity ◽  
Completion Process ◽  
Classification Tasks ◽  
Color Gradients

Previous research on perceptual completion has emphasized how the spatial relationships of edges influence the visual integration of the image fragments that result from partial occlusion. We report studies testing the hypothesis that the similarity of surface features also influences visual integration, complementing edge interpolation processes. Using displays that separated edge interpolation processes from surface-feature interpolation processes, we tested the hypotheses that a surface completion process integrates image fragments with similar surface features, and that surface completion is constrained by amodally interpolated and amodally extended boundaries. Both edge relatability and surface-feature similarity were manipulated in a series of paired-comparison and classification tasks. The results of these studies supported the hypotheses and were extended to surface features of colors, textures, and color gradients. Results also suggest that, under certain conditions, surface completion may interact with and influence edge interpolation.

scholarly journals Analyzing hemorrhagic fever with renal syndrome in Hubei Province, China: a space–time cube-based approach

2019 ◽  
Vol 47 (7) ◽  
pp. 3371-3388 ◽  
Author(s):  
Youlin Zhao ◽  
Liang Ge ◽  
Junwei Liu ◽  
Honghui Liu ◽  
Lei Yu ◽  
...  
Keyword(s):  
Moving Objects ◽  
Hot Spot ◽  
Hemorrhagic Fever ◽  
Hubei Province ◽  
Space Time ◽  
Three Dimensions ◽  
Spatial And Temporal Patterns ◽  
Gravity Center ◽  
Space And Time ◽  
Spatial And Temporal Characteristics

Objective Hemorrhagic fever with renal syndrome (HFRS), a natural–focal infectious disease caused by hantaviruses, resulted in 37 deaths between 2011 and 2015 in Hubei Province, China. HFRS outbreaks are seasonally distributed, exhibiting heterogeneity in space and time. We aimed to identify the spatial and temporal characteristics of HFRS epidemics and their probable influencing factors. Methods We used the space–time cube (STC) method to investigate HFRS epidemics in different space–time locations. STC can be used to visualize the trajectories of moving objects (or changing tendencies) in space and time in three dimensions. We applied space–time statistical methods, including space–time hot spot and space–time local outlier analyses, based on a calculated STC model of HFRS cases, to identify spatial and temporal hotspots and outlier distributions. We used the space–time gravity center method to reveal associations between possible factors and HFRS epidemics. Results In this research, HFRS cases for each space–time location were defined by the STC model, which can present the dynamic characteristics of HFRS epidemics. The STC model delivered accurate and detailed results for the spatiotemporal patterns of HFRS epidemics. Conclusion The methods in this paper can potentially be applied for infectious diseases with similar spatial and temporal patterns.

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