• AR face

  • Referenced in 175 articles [sw13806]
  • Computer Vision Center (CVC) at the U.A.B. It contains over 4,000 color images corresponding ... faces (70 men and 56 women). Images feature frontal view faces with different facial expressions...
  • SURF

  • Referenced in 154 articles [sw29761]
  • descriptor, coined SURF (Speeded Up Robust Features). It approximates or even outperforms previously proposed schemes ... computed and compared much faster. This is achieved by relying on integral images for image...
  • VisualSEEk

  • Referenced in 89 articles [sw13846]
  • system for searching by visual features in an image database. The VisualSEEk system is novel ... color regions. The system finds the images that contain the most similar arrangements of similar ... indexes salient color regions from the images. By utilizing efficient indexing techniques for color information ... complex joint color/spatial queries may be computed...
  • NeTra

  • Referenced in 63 articles [sw14887]
  • each of these regions are computed. In addition to image segmentation, other important components ... indexing of color, texture, and shape features for fast search and retrieval. This representation allows...
  • CTex

  • Referenced in 9 articles [sw21611]
  • extraction of color features that evaluates the input image in a multispace color representation ... self organizing map (SOM) network in the computation of the dominant colors and estimation ... clusters in the image. The texture features are computed using a multichannel texture decomposition scheme ... adaptive integration of the color and texture features in a compound mathematical descriptor with...
  • FSIM

  • Referenced in 21 articles [sw21167]
  • feature similarity index for image quality assessment. Image quality assessment (IQA) aims to use computational ... based stage. In this paper, a novel feature similarity (FSIM) index for full reference...
  • PicToSeek

  • Referenced in 36 articles [sw14897]
  • shape invariants for indexing and retrieving images. To this end, color models are proposed independent ... derived from which shape invariant features are computed. Computational methods are described to combine ... invariants into a unified high-dimensional invariant feature set for discriminatory object retrieval. Experiments have ... conducted on a database consisting of 500 images taken from multicolored man-made objects...
  • Camera Calibration

  • Referenced in 51 articles [sw13537]
  • video processing systems. You can perform feature detection, extraction, and matching; object detection and tracking ... estimation; and video processing. For 3-D computer vision, the system toolbox supports camera calibration ... train object detection, object recognition, and image retrieval systems. Algorithms are available as MATLAB® functions...
  • OpenSIFT

  • Referenced in 1 article [sw16553]
  • distinctive, invariant image feature points, which easily can be matched between images to perform tasks ... object detection and recognition, or to compute geometrical transformations between images. The open-source SIFT ... library and includes functions for computing SIFT features in images, matching SIFT features between images ... using kd-trees, and computing geometrical image transforms from feature matches using RANSAC. The library...
  • MLESAC

  • Referenced in 7 articles [sw28050]
  • computing multiview entities like the fundamental matrix from correspondences between image features. A shortcoming ... where the correspondences are described by one image transformation and clutter. This paper describes ... than just the best, from a particular feature can be taken forward into the sampling ... stage, albeit at the expense of additional computation. The second suggests how to propagate...
  • MaZda

  • Referenced in 3 articles [sw13617]
  • quantitative analysis of image textures, including computation of texture features, procedures for feature selection ... data classification, various data visualization and image segmentation tools. Initially, MaZda was aimed at analysis...
  • VIGRA

  • Referenced in 3 articles [sw32591]
  • multi-dimensional images, because many algorithms (e.g. filters, feature computation, superpixels) are implemented for arbitrary...
  • DeepLab

  • Referenced in 11 articles [sw15303]
  • work we address the task of semantic image segmentation with Deep Learning and make three ... control the resolution at which feature responses are computed within Deep Convolutional Neural Networks ... number of parameters or the amount of computation. Second, we propose atrous spatial pyramid pooling ... multiple scales. ASPP probes an incoming convolutional feature layer with filters at multiple sampling rates...
  • FRIP

  • Referenced in 5 articles [sw14894]
  • texture distribution of image. In addition, to decrease the computational complexity without losing the accuracy ... search results, we extract optimal feature vectors from segmented regions and apply them ... scheme. The experimental results using real world images show that our system can indeed improve...
  • LLEC

  • Referenced in 5 articles [sw02410]
  • average for the tested images but superior in terms of computational complexity and memory requirement ... addition, LLEC has other desirable features such as parallel processing support, ROI (Region Of Interest...
  • SBA

  • Referenced in 23 articles [sw05242]
  • used as the last step of every feature-based multiple view reconstruction vision algorithm ... reprojection error between the observed and predicted image points. The minimization is typically carried ... such as MINPACK’s lmder) incurs high computational costs when applied to the minimization problem...
  • FREAK

  • Referenced in 11 articles [sw29762]
  • rely on matching keypoints across images. The last decade featured an arms-race towards faster ... algorithms: Scale Invariant Feature Transform (SIFT)[17], Speed-up Robust Feature (SURF)[4], and more ... embedded devices with low memory and computation complexity has even upped the ante: the goal ... cascade of binary strings is computed by efficiently comparing image intensities over a retinal sampling...
  • Leafsnap

  • Referenced in 5 articles [sw15540]
  • this system are computer vision components for discarding non-leaf images, segmenting the leaf from ... untextured background, extracting features representing the curvature of the leaf’s contour over multiple scales ... performance on the real-world images from the new Leafsnap Dataset – the largest ... practical steps needed to produce a computer vision system such as ours, which currently...
  • PCL

  • Referenced in 8 articles [sw22770]
  • large scale, open project [1] for 2D/3D image and point cloud processing. The PCL framework ... state-of-the art algorithms including filtering, feature estimation, surface reconstruction, registration, model fitting ... parts of a scene, extract keypoints and compute descriptors to recognize objects in the world...
  • STIR

  • Referenced in 4 articles [sw14526]
  • version of STIR (Software for Tomographic Image Reconstruction), an open source object-oriented library implemented ... computing platforms. This second release enhances its flexibility and modular design and includes additional features ... additional iterative reconstruction algorithm and parametric image reconstruction (both indirect and direct). We discuss...