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Locating Human Faces in a Cluttered Scene
2000
Graphical Models
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In this paper, we present two new schemes for finding human faces in a photograph. The first scheme adopts a distribution-based model approach to face-finding. ...
A training data base of face images was constructed in the laboratory. ...
Finally, the authors thank Nilesh Hiremath for his enthusiastic support in setting up the photo studio and Mohammed Yeasin for several interesting discussions on the face finding problem. ...
doi:10.1006/gmod.1999.0511
fatcat:qowd7pqmcjgcvdaaszzdcnrlcq
Layout Estimation of Highly Cluttered Indoor Scenes Using Geometric and Semantic Cues
[chapter]
2013
Lecture Notes in Computer Science
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This method fails in highly cluttered scenes in which most of the image features come from clutter instead of the room's geometric structure. ...
We contribute a new data set of highly cluttered indoor scenes containing people, on which we provide baselines and evaluate our method. ...
Scene-Human Compatibility Ψ (S, H): This potential measures the likelihood of the human location H = {B, P, T } given the scene hypothesis S. ...
doi:10.1007/978-3-642-41184-7_50
fatcat:4qmffp4m2vbovnu2x6xomzdnx4
Action Recognition Robust to Background Clutter by Using Stereo Vision
[chapter]
2012
Lecture Notes in Computer Science
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The resulting algorithm has a comparable or slightly better recognition accuracy than standard monocular solution in controlled setup with a single actor present in the scene. ...
However, we show its significantly improved performance in case of strong background clutter due to other people freely moving behind the actor. ...
In case no face is detected, if the actor turns or the detector miss the face, we simply assume a previous face position. 3. ...
doi:10.1007/978-3-642-33863-2_33
fatcat:2vwxs6r2hrgere6a6bqpddjpnu
Individual differences in visual search performance extend from artificial arrays to naturalistic environments
[article]
2021
bioRxiv
pre-print
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Visual search is a universal human activity in naturalistic environments. ...
Traditionally, visual search is investigated under tightly controlled conditions, where head-restricted participants locate a minimalistic target in a cluttered array presented on a computer screen. ...
Introduction Locating an object in a cluttered environment is a ubiquitous visual behavior. ...
doi:10.1101/2021.10.15.464609
fatcat:nuodiio7srasnazmmbedn6vwmm
Partially sparse imaging of stationary indoor scenes
2014
EURASIP Journal on Advances in Signal Processing
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In this paper, we exploit the notion of partial sparsity for scene reconstruction associated with through-the-wall radar imaging of stationary targets under reduced data volume. ...
Partial sparsity implies that the scene being imaged consists of a sparse part and a dense part, with the support of the latter assumed to be known. ...
Note that an orientation angle of 0°corresponds to the human facing along the positive x direction and the positive angles correspond to a counterclockwise rotation in the horizontal plane. ...
doi:10.1186/1687-6180-2014-100
fatcat:2npibota6bhu3gkkacupa44544
There Is a "U" in Clutter: Evidence for Robust Sparse Codes Underlying Clutter Tolerance in Human Vision
2015
Journal of Neuroscience
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The neural mechanisms underlying object recognition in cluttered scenes (i.e., containing more than one object) remain poorly understood. ...
The ability to recognize objects in clutter is crucial for human vision, yet the underlying neural computations remain poorly understood. ...
Discussion
The feedforward account of rapid object recognition in clutter Numerous studies have shown that humans are able to rapidly and accurately detect objects in cluttered natural scenes containing ...
doi:10.1523/jneurosci.1211-15.2015
pmid:26490856
pmcid:PMC4683683
fatcat:dp7knllb7zcvlmkavad47qjzhy
A Goal Oriented Attention Guidance Model
[chapter]
2002
Lecture Notes in Computer Science
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In this paper, we propose an architecture to estimate the task-relevance of attended locations in a scene. ...
Our model guides attention according to a topographic attention guidance map that encodes the bottom-up salience and task-relevance of all locations in the scene. ...
On a natural cluttered scene, we asked the model to determine the faces of people in the scene and find what they were eating. ...
doi:10.1007/3-540-36181-2_45
fatcat:l7picaegp5eafjuuscvzijskp4
The Developing Infant Creates a Curriculum for Statistical Learning
2018
Trends in Cognitive Sciences
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From this vantage point, the training sets for statistical learning develop as the infant's sensory-motor abilities develop, yielding a series of ordered data sets for visual learning that differ in content ...
These changing environments may constitute a developmentally ordered curriculum that optimizes learning across many domains. ...
Acknowledgments LBS was supported in part by NSF grant BCS-1523982; EMC was supported by NICHD T32HD007475-22, LBS, SW, and CY were supported by Indiana University through the Emerging Area of Research ...
doi:10.1016/j.tics.2018.02.004
pmid:29519675
pmcid:PMC5866780
fatcat:2vmlx6eeufdzniph6jlu4cqsom
Symbolic signatures for deformable shapes
2006
IEEE Transactions on Pattern Analysis and Machine Intelligence
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We demonstrate our system in a series of large-scale experiments that were motivated by specific applications in scene analysis and medical diagnosis. ...
used to capture the real world only provide a partial view of a scene, so there is partial information pertaining to the objects of interest. ...
Task 3 (Detection of Human Faces in Complex Scenes) This task considered real range scenes containing human head models and multiple clutter objects. ...
doi:10.1109/tpami.2006.23
pmid:16402621
fatcat:7hembfi2kfbdhopuonpnrro6sq
Going beyond vision to improve bionic vision
2013
2013 IEEE International Conference on Image Processing
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Currently, most implanted visual prosthetic systems generate vision by translating sensor data from a headworn camera into electrical stimulation of the human vision system. ...
This dramatically reduces the usefulness of bionic vision in many real world scenarios. Historically, this problem is treated as immutable pathology. ...
What if we represent the world symbolically, such as using avatars to represent human faces ( Figure 5 ) to get around the limited resolution in the bionic vision output? ...
doi:10.1109/icip.2013.6738320
dblp:conf/icip/LiTL13
fatcat:jhfqfznppvgl3ligwobnv3zye4
Selective visual attention enables learning and recognition of multiple objects in cluttered scenes
2005
Computer Vision and Image Understanding
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from complex scenes, and that it can strongly improve learning and recognition performance in the presence of large amounts of clutter. ...
Distinguishing individual objects in a scene would allow unsupervised learning of multiple objects from unlabeled images. ...
High-resolution background images were provided by TNO Human Factors Research Institute, the Netherlands. ...
doi:10.1016/j.cviu.2004.09.004
fatcat:3iyorrhyivhafpl6j3v7tjkuki
Learning an Object Model for Feature Matching in Clutter
[chapter]
2003
Lecture Notes in Computer Science
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We demonstrate how incorporating the shape variation prior into the matching model enhances matching performance in the presence of clutter. ...
We then estimate the characteristics of the shape variations for a realistic prior on the shapes. ...
However, when matching faces in cluttered scenes, the performance of the proposed system is clearly superior. ...
doi:10.1007/3-540-45103-x_27
fatcat:p4cocdgugzfblh4brtdfipy6li
Wall Clutter Mitigation Using Discrete Prolate Spheroidal Sequences for Sparse Reconstruction of Indoor Stationary Scenes
2015
IEEE Transactions on Geoscience and Remote Sensing
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This permits the formation of a linear block sparse model relating the range profile and observation vectors. ...
Effective wall clutter suppression can then be performed prior to sparse signal image reconstruction. ...
clutter support to no more than 1.5 m away from the front face of the wall. ...
doi:10.1109/tgrs.2014.2345259
fatcat:ldxzylkidbfonjmmaafcgo4pce
Gabor Wavelets and Morphological Shared Weighted Neural Network Based Automatic Face Recognition
2013
Signal & Image Processing An International Journal
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Face detection is performed on a cluttered background and crowded scene where a false negative and false positive is detected. ...
The system is experimented on standard datasets and also on our own dataset of image owing to different illumination conditions and cluttered background in non frontal images with a crowded scene with ...
Face detection performed on a crowded scene where a false negative and false positive is detected. False positive error includes those locations of face which has been detected as face wrongly. ...
doi:10.5121/sipij.2013.4405
fatcat:a6odx65odfg33ltst37u7oiniq
Wall Mitigation Using Discrete Prolate Spheroidal Sequences For Sparse Indoor Image Reconstruction
2013
Zenodo
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Publication in the conference proceedings of EUSIPCO, Marrakech, Morocco, 2013 ...
A simple and effective method for wall clutter mitigation is background subtraction. However, access to empty scene measurements is not available in many applications. ...
Each face of the dihedral was 0.39 m × 0.28 m. The back and the side walls were covered with RF absorbing material. Measurements from the empty scene without the target were also made. ...
doi:10.5281/zenodo.43558
fatcat:x3ve64bvqbcdhky6xhoyasz23y
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