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Learning Contrast-Enhanced Shape-Biased Representations for Infrared Small Target Detection
IEEE Transactions on Image ProcessingDetecting infrared small targets under cluttered background is mainly challenged by dim textures, low contrast and varying shapes. This paper proposes an approach to facilitate infrared small target detection by learning contrast-enhanced shape-biased ...
Fanzhao Lin, Kexin Bao, Dan Zeng
exaly +2 more sources
SARPNET: Shape attention regional proposal network for liDAR-based 3D object detection
Neurocomputing, 2020Real-time 3D object detection is a fundamental technique in numerous applications, such as autonomous driving, unmanned aerial vehicles (UAV) and robot vision.
Yangyang Ye, Houjin Chen, Xiaoli Hao
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Detection of change in shape: an advantage for concavities
Cognition, 2003Shape representation was studied using a change detection task. Observers viewed two individual shapes in succession, either identical or one a slightly altered version of the other, and reported whether they detected a change. We found a dramatic advantage for concave compared to convex changes of equal magnitude.
Elan Barenholtz +2 more
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Optimal edge-based shape detection
IEEE Transactions on Image Processing, 2002We propose an approach to accurately detecting two-dimensional (2-D) shapes. The cross section of the shape boundary is modeled as a step function. We first derive a one-dimensional (1-D) optimal step edge operator, which minimizes both the noise power and the mean squared error between the input and the filter output.
Hankyu Moon +2 more
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ISNet: Shape Matters for Infrared Small Target Detection
Computer Vision and Pattern Recognition, 2022Infrared small target detection (IRSTD) refers to extracting small and dim targets from blurred backgrounds, which has a wide range of applications such as traffic management and marine rescue.
Mingjin Zhang +5 more
semanticscholar +1 more source
IEEE Sensors Journal, 2020
For non uniform reflective objects, a new three-dimensional (3-D) shape detection method that combines color light projection with camera exposure adjustment is proposed. First, the intensity of the projected fringes is set to maximum. Second, we combine
Jianhua Wang, Yuguo Zhou, Yanxi Yang
semanticscholar +1 more source
For non uniform reflective objects, a new three-dimensional (3-D) shape detection method that combines color light projection with camera exposure adjustment is proposed. First, the intensity of the projected fringes is set to maximum. Second, we combine
Jianhua Wang, Yuguo Zhou, Yanxi Yang
semanticscholar +1 more source
Industrial robot, 2020
Purpose There is an increasing popularity for the continuum robot in minimally invasive surgery owing to its compliance and dexterity. However, the dexterity takes the challenges in loading and precise control because of the absence of the shape ...
Xiaoyong Wei +6 more
semanticscholar +1 more source
Purpose There is an increasing popularity for the continuum robot in minimally invasive surgery owing to its compliance and dexterity. However, the dexterity takes the challenges in loading and precise control because of the absence of the shape ...
Xiaoyong Wei +6 more
semanticscholar +1 more source
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), 2002
We present a new approach for accurate detection of two-dimensional shapes. We first derive an optimal smoothing filter, which minimizes both the noise power and the mean squared error between the input and the filter output. This operator is found to be a derivative of the double exponential (DODE) function.
Hankyu Moon +2 more
openaire +1 more source
We present a new approach for accurate detection of two-dimensional shapes. We first derive an optimal smoothing filter, which minimizes both the noise power and the mean squared error between the input and the filter output. This operator is found to be a derivative of the double exponential (DODE) function.
Hankyu Moon +2 more
openaire +1 more source
On the role of shape in the detection of melanomas
2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA), 2013This paper presents a study on the role of shape in the detection of melanomas in dermoscopy images. The contribution of shape-related features was assessed by developing a Computer-Aided Diagnosis (CAD) system whose classification is solely based on this type of features.
Margarida Ruela +3 more
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Detection of contrast-defined shape
Journal of the Optical Society of America A, 2001We assessed the accuracy of contrast-defined shape detection of stimuli of constant aspect ratio, namely, circular bandpass stimuli whose radii were sinusoidally varied about a mean radius. Performance for these contrast-defined shapes, which we show is determined by the global rather than the local attributes of the stimulus, is 2-8 times worse than ...
R F, Hess, R L, Achtman, Y Z, Wang
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