• SIFT

  • Referenced in 592 articles [sw16554]
  • Keypoint Detector. Distinctive Image Features from Scale-Invariant Keypoints. This paper presents a method ... scene. The features are invariant to image scale and rotation, and are shown to provide...
  • SURF

  • Referenced in 164 articles [sw29761]
  • paper, we present a novel scale- and rotation-invariant interest point detector and descriptor, coined...
  • FREAK

  • Referenced in 11 articles [sw29762]
  • more robust keypoints and association algorithms: Scale Invariant Feature Transform (SIFT)[17], Speed-up Robust ... SURF)[4], and more recently Binary Robust Invariant Scalable Keypoints (BRISK)[I6] to name ... compute, more compact while remaining robust to scale, rotation and noise. To best address...
  • SIFER

  • Referenced in 4 articles [sw30440]
  • SIFER: scale-invariant feature detector with error resilience. We present a new method to extract ... scale-invariant features from an image by using a Cosine Modulated Gaussian (CM-Gaussian) filter ... balanced scale-space atom with minimal spread in scale ... space leads to an outstanding scale-invariant feature detection quality, albeit at reduced planar rotational...
  • SiftGPU

  • Referenced in 2 articles [sw11748]
  • SiftGPU: A GPU Implementation of Scale Invariant Feature Transform (SIFT). SiftGPU is an implementation...
  • BSIFT

  • Referenced in 1 article [sw28343]
  • Words (BoWs) model based on Scale Invariant Feature Transform (SIFT) has been widely used...
  • OpenSURF

  • Referenced in 4 articles [sw21451]
  • detector and descriptor of local scale- and rotation-invariant image features...
  • OpenSurf

  • Referenced in 1 article [sw21452]
  • same way as SIFT (Scale-invariant feature transform) which is patented. Thus to align (register...
  • OpenSIFT

  • Referenced in 1 article [sw16553]
  • Scale Invariant Feature Transform (SIFT) is a method to detect distinctive, invariant image feature points...
  • Gudhi

  • Referenced in 16 articles [sw08777]
  • where one is interested in learning topological invariants of a shape, sampled by a point ... popular approach is to construct, at different scales, an approximation of the shape using simplicial ... persistent homology, and provides the same topological invariant represented by a persistence diagram. The persistent...
  • VeriCon

  • Referenced in 3 articles [sw16297]
  • programs behave correctly. However, in general, scaling these methods to large networks is challenging ... admissible network topologies and desired network-wide invariants, and then implements classical Floyd-Hoare-Dijkstra ... network event w.r.t. the specified invariant, and can thus scale to handle large programs...
  • !FTL

  • Referenced in 1 article [sw32626]
  • Gesture Recognizer with Controllable Position, Scale, and Rotation Invariances. Nearest neighbor classifiers recognize stroke gestures ... mathematically prove the LSD position, scale, and rotation invariance, thus eliminating the preprocessing. To demonstrate...
  • GigaMesh

  • Referenced in 1 article [sw06599]
  • Multi-scale integral invariants for robust character extraction from irregular polygon mesh data. Hundreds ... mesh. Different types of integral invariant filtering in multiple scales lead to different high-dimensional ... novel algorithms, the properties of the integral invariants are investigated. Understanding these properties is highly...
  • PnPMPC

  • Referenced in 5 articles [sw12119]
  • modeling of constrained Large Scale Systems (LSS) with linear time-invariant dynamics, for the implementation...
  • Openpipeflow

  • Referenced in 9 articles [sw30456]
  • large-scale simulation of highly turbulent flow, to the detailed analysis of nonlinear invariant solutions...
  • NetLSD

  • Referenced in 1 article [sw32341]
  • computation. Ideally, graph comparison should be invariant to the order of nodes and the sizes ... compared graphs, adaptive to the scale of graph patterns, and scalable. Unfortunately, these properties have ... knowledge, permutation- and size-invariant, scale-adaptive, and efficiently computable graph representation method that allows...
  • DirectDM

  • Referenced in 6 articles [sw31393]
  • onto a Galilean-invariant non-relativistic EFT valid at the nuclear scale. The program...
  • AdaFrame

  • Referenced in 2 articles [sw25550]
  • framework for designing multi-scale, adaptive, shift-invariant frames and bi-frames for representing signals ... inference time. It improves classical multi-scale basis such as wavelet frames in terms...
  • FunArray

  • Referenced in 14 articles [sw13708]
  • able to infer thousands of non-trivial invariants and verify the implementation with a modest ... large code base, and proven to scale...