Orientation in Manhattan: equiprojective classes and sequential estimation

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005

4,933 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/1f92e0cd9de95572a993bfedc1fa3d9363597ea8

Citations in the corpus

• Color and Contrast Enhancement by Controlled Piecewise Affine Histogram Equalization (2012, background): “The most popular global contrast enhancement is the parameterless global histogram equalization (HE) [1].”
• A Sorted Neighborhood Approach for Detecting Duplicated Regions in Image Forgeries Based on DWT and SVD (2007, methodology): “Through dilation and erosion operations[8], the localization results of JPEG tampered images are similar to those ofBMP format.”
• Multiview Stereo and Silhouette Consistency via Convex Functionals over Convex Domains (2011, neutral): “posed: volumetric [21], surface-based [5], and polyhedral”
• Unsupervised Threshold for Automatic Extraction of Dolphin Dorsal Fin Outlines from Digital Photographs in DARWIN (Digital Analysis and Recognition of Whale Images on a Network) (2012, background): “There are two principal application areas of image processing: improving pictorial information for human interpretation and processing scene data for autonomous machine perception [5].”
• Wafer Map Failure Pattern Recognition and Similarity Ranking for Large-Scale Data Sets (2015, methodology): “, known as template matching [19] in the field of image processing).”
• Continuous Global Optimization in Multiview 3D Reconstruction (2007, background): “The earliest attempts use a volumetric representation of the scene, where each voxel is labeled as opaque or transparent according to each projection onto the images [20].”
• Multi-camera Scene Reconstruction via Graph Cuts (2002, neutral): “In voxel occupancy [18] [25] the scene is represented as a set of 3-dimensional voxels, and the task is to label the individual voxels as filled or empty.”
• Detection of unhealthy region of plant leaves and classification of plant leaf diseases using texture features (2013, background): “HSI (hue, saturation, intensity) color model is a popular color model because it is based on human perception (Gonzalez and Woods, 2008).”
• Robust Variational Segmentation of 3D Objects from Multiple Views (2006, background): “An early paper reporting a volumetric representation of the visual hull is due to Martin and Aggarwal [13].”
• A comparative study on shadow compensation of color aerial images in invariant color models (2006, background): “Note that hue and saturation taken together are called chromaticity and the brightness of a chromatic light embodies the achromatic notion of intensity [14].”
• Leafsnap: A Computer Vision System for Automatic Plant Species Identification (2012, methodology): “This is done by taking the top-hat transformation of the segmentation [12], using as structuring element a disc with diameter larger than the width of any potential stem.”