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Three-dimensional shape and two-dimensional surface reflectance contributions to face recognition: an application of three-dimensional morphing
1999
Vision Research
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Both the three-dimensional shape and two-dimensional surface reflectance information contributed substantially to human recognition performance, thus constraining theories of face representation to include ...
We measured the three-dimensional shape and two-dimensional surface reflectance contributions to human recognition of faces across viewpoint. ...
Thanks are due also to Niko Troje for the stimulus creation and processing and to Shimon Edelman and Heather Wild for helpful comments on this manuscript. ...
doi:10.1016/s0042-6989(99)00034-6
pmid:10664810
fatcat:2rdee7iyvng4hlvgzukjinlskq
Spin Images and Neural Networks for Efficient Content-Based Retrieval in 3D Object Databases
[chapter]
2002
Lecture Notes in Computer Science
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The main contribution of this work is the introduction of a three-level indexing schema based on artificial neural networks. ...
The spin image representation facilitates the task of aligning the query object with respect to matched models (coarsegrain registration). ...
Object Representation and Shape Features Three-dimensional object recognition uses the true 3D shape of objects in its model representation. 3D data can come in the form of depth-maps, isolated 3D points ...
doi:10.1007/3-540-45479-9_24
fatcat:igbk77dh2fguxge4to3mcvetaq
Intelligent shape recognition for complex industrial tasks
1988
Control Systems Magazine
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This paper proposes an intelligent shape representation and recognition system that can handle a large class of objects under less constrained situations. ...
In the representation phase, objects are described by using these essential features; in the recognition phase, searching for the best candidate is restricted to the models represented by these features ...
For three-dimensional objects, the Shape Representer consists of a wireframe representation based on edges and vertices, an extended Gaussian image, a three-dimensional relational modeler based on surface ...
doi:10.1109/37.473
fatcat:kxpbrfzp4zdjppcd46slb5as3e
Shape and Enlightenment: Reconstruction and Recognition under Variable Illumination
[chapter]
2000
Robotics Research
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This paper summarizes recent work on developing appearance-based methods for modeling the variability due to illumination in the images of objects. ...
The methods have been tested within the domain of face recognition on two databases, one with 660 images of 10 faces in fixed pose but variable lighting, and one with 1350 images of 10 faces with variable ...
Kriegman and A.S. Georghiades were supported under NSF NYI IRI-9257990 and ARO DAAG55-98-1-0168. P. N. ...
doi:10.1007/978-1-4471-0765-1_10
fatcat:6p4p4hyt7zgijdk6paxw7dlzle
Object recognition using shape-from-shading
2001
IEEE Transactions on Pattern Analysis and Machine Intelligence
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We consider how curvature and shape-index information delivered by this algorithm can be used to recognize objects based on their surface topography. ...
We explore two contrasting object recognition strategies. The first of these is based on a lowlevel attribute summary and uses histograms of curvature and orientation measurements. ...
Three of the range images are of Bach, two of Brahms, and one each of Beethoven and Chopin. ...
doi:10.1109/34.922711
fatcat:65pusdlkfnbz7icb736wg6uldm
Learning by a generation approach to appearance-based object recognition
1996
Proceedings of 13th International Conference on Pattern Recognition
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W e propose a methodology f o r the generation of learning samples an appearance-based object recognition. ...
representation. ...
Recently, a recognition system with 100 complex rigid objects in its database was developed that is solely based on appearance matching. ...
doi:10.1109/icpr.1996.545985
dblp:conf/icpr/MuraseN96
fatcat:t5rwzrxjtzckrfintl4wst4bnq
Review of Local Descriptor in RGB-D Object Recognition
2014
TELKOMNIKA (Telecommunication Computing Electronics and Control)
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Three different approaches are used in involving depth images into compact feature representation, that is classical approach using distribution based, kernel-trick, and feature learning. ...
We review the use of local descriptors as the feature representation which is extracted from RGB-D images, in instances and category-level object recognition. ...
Object surface is assumed to represent object categories information, because the object surface can be described by a tangent plane orientation (i.e normal vector on each coordinate surface). ...
doi:10.12928/telkomnika.v12i4.388
fatcat:4rdsur3agfbg3b57boz3xoasxq
From surfaces to objects: computer vision and three dimensional scene analysis
1990
ChoiceReviews
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That style combines surface patches segmented from the three dimensional scene description, surface patch based object models, a hierarchy of representations, models and recognitions, a distributed network-based ...
The middle chapters, seven and eight, describe how objects are represented and selected, and thus how one can pass from an iconic to a symbolic scene representation. ...
The following abbreviations are used: ANCAI -American National Conference on Artificial Intelligence IJCAI -International Joint Conference on Artificial Intelligence SRI -Stanford Research Institute ...
doi:10.5860/choice.27-2755
fatcat:cpli4dhclfblfgummz5ohq72ce
Exploiting Multi-layer Features Using a CNN-RNN Approach for RGB-D Object Recognition
[chapter]
2019
Lecture Notes in Computer Science
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In order to utilize the CNN model trained on large-scale RGB datasets for depth domain, depth images are converted to a representation similar to RGB images. ...
Finally, multi-level information is fused to produce a strong global representation of the entire object image. ...
To this end, depth maps are colorized by computing three dimensional surface normals and treating each dimension as a color channel. ...
doi:10.1007/978-3-030-11015-4_51
fatcat:a4iezbiv3vfrraal333akeipba
How Are Three-Dimensional Objects Represented in the Brain?
1995
Cerebral Cortex
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In all experiments, subjects were presented with realistically rendered images of computer-generated three-dimensional objects, with tight control over stimulus shape, surface properties, illumination, ...
two-dimensional images of the stimuli. ...
Viewpoint-invariant three-dimensional representations A recognition scheme based on viewpoint-invariant three-dimensional representations may b e expected to perform poorly only for those views which b ...
doi:10.1093/cercor/5.3.247
pmid:7613080
fatcat:afsh7cjy25aoffkgdbamkgzbwq
3D Object Retrieval by Shape Similarity
[chapter]
2002
Lecture Notes in Computer Science
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Our feature extraction mechanism is based on observation of human behavior in recognizing objects. ...
The proposed method leads us to achieve effectiveness and robustness in similar 3D object search supporting both query by 3D model and query by 2D image. ...
Object-centered representation often uses explicit three-dimensional descriptions of objects of interest in Euclidian space like solid geometry and surface-based representation. ...
doi:10.1007/3-540-46146-9_84
fatcat:xqx7wvnd3za4belxqrvliosspy
Information measures for object recognition accommodating signature variability
2000
IEEE Transactions on Information Theory
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Index Terms-Infrared imaging, mutual information, object recognition, performance analysis of recognition systems. ...
Principal component analysis of object signatures is used to represent and efficiently accommodate variation in object signature due to changes in the thermal state of the object surface. ...
To analyze the dimensionality of this representation for object signatures, the normalized power spectrum ( plotted versus ) of the eigenbasis representing object signatures is shown in the left panel ...
doi:10.1109/18.857799
fatcat:6aqd7mywpbbdxi4imebggyq7wy
Representing three-dimensional objects by sets of activities of receptive fields
1993
Biological cybernetics
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The present report concentrates on investigating the utility of collections of RFs in representing three-dimensional objects under changing viewing conditions. ...
Results of computational experiments suggest that a representation scheme based on this algorithm for the choice of stable pairs of RFs would perform consistently better than a scheme involving random ...
for useful references, and an anonymous referee for constructive and detailed suggestions. ...
doi:10.1007/bf00202564
fatcat:e4alfgzgt5cs5pk4lxklha7qk4
What is the set of images of an object under all possible lighting conditions?
1996
Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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IR n and that the dimension of this illumination cone equals the number of distinct surface normals. ...
Furthermore, we show that the cone for a particular object can be constructed from three properly chosen images. ...
In earlier face recognition work, we implemented a classi cation method based on the minimum distance of an image to a three dimensional linear subspace (i.e. L) that was constructed for each person. ...
doi:10.1109/cvpr.1996.517085
dblp:conf/cvpr/BelhumeurK96
fatcat:ii3xyirp35gefa44uhfv5asoq4
Face Recognition with Region Division and Spin Images
[chapter]
2006
Lecture Notes in Computer Science
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Our representation is based on the spin image histograms for an arrangement of image patches. ...
Experiments show the method to be reliable and accurate, and the recognition precision reaches 98% on CMU PIE sub-database. ...
The spin image representation is based on the availability of surface height data and can not be applied directly to fields of surface normals or needle maps. ...
doi:10.1007/11892755_11
fatcat:wcz3yudzq5br3ln35srbuv7tnu
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