Detection of surface orientation and motion from texture by a stereoogical technique.
Artificial Intelligence
Recovering the orientation of textured surfaces in natural scenes (image processing)
Recovering the orientation of textured surfaces in natural scenes (image processing)
Computer Vision, Graphics, and Image Processing
Shape from texture
Computing Local Surface Orientation and Shape from Texture forCurved Surfaces
International Journal of Computer Vision
Location- and Density-Based Hierarchical Clustering Using Similarity Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Affine Invariant Texture Segmentation and Shape from Texture by Variational Methods
Journal of Mathematical Imaging and Vision
A Modified Version of the K-Means Algorithm with a Distance Based on Cluster Symmetry
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Integrated 3-D Analysis and Analysis-Guided Synthesis of Flight Image Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive Scale Filtering: A General Method for Obtaining Shape From Texture
IEEE Transactions on Pattern Analysis and Machine Intelligence
Qualitative Estimation of Depth in Monocular Vision
IWVF-4 Proceedings of the 4th International Workshop on Visual Form
Direct Shape from Texture Using a Parametric Surface Model and an Adaptive Filtering Technique
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Supervised texture classification by integration of multiple texture methods and evaluation windows
Image and Vision Computing
Local relational string and mutual matching for image retrieval
Information Processing and Management: an International Journal
Obtaining a 3-D orientation of projective textures using a morphological method
Pattern Recognition
Structure from motion and photometric stereo for dense 3D shape recovery
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Median binary pattern for textures classification
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
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A method is presented for identifying texture elements while simultaneously recovering the orientation of textured surfaces. A multiscale region detector, based on measurements in a Del /sup 2/G (Laplacian-of-Gaussian) scale space, is used to construct a set of candidate texture elements. True elements are selected from the set of candidate elements by finding the planar surface that best predicts the observed areas of the latter. Results are shown for a variety of natural textures, including waves, flowers, rocks, clouds, and dirt clods.