Three-dimensional object recognition
ACM Computing Surveys (CSUR) - Annals of discrete mathematics, 24
Model-based recognition in robot vision
ACM Computing Surveys (CSUR)
On the Sensitivity of the Hough Transform for Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing solid objects by alignment with an image
International Journal of Computer Vision
3-D Shape Recovery Using Distributed Aspect Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
International Journal of Computer Vision
Model based recognition of specular objects using sensor models
CVGIP: Image Understanding - Special issue on directions in CAD-based vision
Object recognition based on moment (or algebraic) invariants
Geometric invariance in computer vision
Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
Reflectance based object recognition
International Journal of Computer Vision
Perceptual Organization and Visual Recognition
Perceptual Organization and Visual Recognition
Three-Dimensional Object Recognition Systems
Three-Dimensional Object Recognition Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Retrieving Multispectral Satellite Images Using Physics-Based Invariant Representations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Illumination-Invariant Matching of Deterministic Local Structure in Color Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modeling and Classifying Symmetries Using a Multiscale Opponent Color Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometric and Illumination Invariants for Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
NeTra: a toolbox for navigating large image databases
Multimedia Systems - Special issue on video content based retrieval
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Indexing for local appearance-based recognition of planar objects
Pattern Recognition Letters
Comparing Intensity Transformations and Their Invariants in the Context of Color Pattern Recognition
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Objective Colour from Multispectral Imaging
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Shape Models and Object Recognition
Shape, Contour and Grouping in Computer Vision
Spectro-Spatial Gradients for Color-Based Object Recognition and Indexing
CAIP '99 Proceedings of the 8th International Conference on Computer Analysis of Images and Patterns
Moment invariants for recognition under changing viewpoint and illumination
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
Spectral gradients for color-based object recognition and indexing
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
Induction operators for a computational colour-texture representation
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
The Journal of Supercomputing - Special issue: Parallel and distributed processing and applications
Surface Dependent Representations for Illumination Insensitive Image Comparison
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance evaluation of local colour invariants
Computer Vision and Image Understanding
A quick scale-invariant interest point detecting approach
Machine Vision and Applications
Feature-centric evaluation for efficient cascaded object detection
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and its Applications - Volume Part I
Image matching based on scale invariant regions
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
On a face detection with an adaptive template matching and an efficient cascaded object detection
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II
Intelligent multi-camera video surveillance: A review
Pattern Recognition Letters
Subspace-based clustering and retrieval of 3-D objects
Computers and Electrical Engineering
Local features and histogram based planar object recognition
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
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Traditional approaches to three dimensional object recognition exploit the relationship between three dimensional object geometry and two dimensional image geometry. The capability of object recognition systems can be improved by also incorporating information about the color of object surfaces. Using physical models for image formation, we derive invariants of local color pixel distributions that are independent of viewpoint and the configuration, intensity, and spectral content of the scene illumination. These invariants capture information about the distribution of spectral reflectance which is intrinsic to a surface and thereby provide substantial discriminatory power for identifying a wide range of surfaces including many textured surfaces. These invariants can be computed efficiently from color image regions without requiring any form of segmentation. We have implemented an object recognition system that indexes into a database of models using the invariants and that uses associated geometric information for hypothesis verification and pose estimation. The approach to recognition is based on the computation of local invariants and is therefore relatively insensitive to occlusion. We present several examples demonstrating the system's ability to recognize model objects in cluttered scenes independent of object configuration and scene illumination. The discriminatory power of the invariants has been demonstrated by the system's ability to process a large set of regions over complex scenes without generating false hypotheses.