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Machine Vision and Applications
Springer-Verlag New York, Inc.
 
   
 
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  1-10 of 25 reviews Date Reviewed 
  Facial expression analysis and expression-invariant face recognition by manifold-based synthesis
Peng Y., Yin H. Machine Vision and Applications 29(2): 263-284, 2018.  Type: Article

Although an old topic of exploration, facial expression has become an important field of research. Marketing and medical research frequently use emotion analysis to identify customer needs and emotions....

Aug 23 2018
  Instance-based object recognition in 3D point clouds using discriminative shape primitives
Zhang J., Sun J. Machine Vision and Applications 29(2): 285-297, 2018.  Type: Article

The subject matter of this paper is 3D object recognition, particularly the detection of “objects of interest from cluttered 3D scenes” along with 3D poses of the objects. In fact, the authors study instance-based 3...

Jun 5 2018
  Solving the robot-world hand-eye(s) calibration problem with iterative methods
Tabb A., Ahmad Yousef K. Machine Vision and Applications 28(5-6): 569-590, 2017.  Type: Article

Calibration means building the transformation matrices between the robot end effector and the camera (call it Z), and between the robot base and the reference system (call it X). The mathematical expression is the matrix equation, in h...

Nov 1 2017
  Finding local leaf vein patterns for legume characterization and classification
Larese M., Granitto P. Machine Vision and Applications 27(5): 709-720, 2016.  Type: Article

Larese and Granitto essentially consider scale-invariant feature transform (SIFT) plus bag-of-words (BOW) plus support vector machines (SVM) to detect relevant vein patterns that characterize different species and varieties of legumes....

Mar 15 2017
  Exploiting sparse representations in very high-dimensional feature spaces obtained from patch-based processing
Hunter J., Tugcu M., Wang X., Costello C., Wilkes D. Machine Vision and Applications 22(3): 449-460, 2011.  Type: Article

In this paper, the authors introduce a useful computational device into computer vision. More specifically, the paper is about object detection. Though high-dimensional feature vectors are desirable for this problem because they can re...

Nov 30 2011
  Precise eye localization using HOG descriptors
Monzo D., Albiol A., Sastre J., Albiol A. Machine Vision and Applications 22(3): 471-480, 2011.  Type: Article

The authors of this paper present a novel algorithm for refining eye location using histograms of oriented gradients (HOG) descriptors. Monzo et al. do a very competent job of conveying the salient aspects of their work and framing it ...

Nov 29 2011
  Automatic extraction of brushstroke orientation from paintings: POET: prevailing orientation extraction technique
Berezhnoy I., Postma E., van den Herik H. Machine Vision and Applications 20(1): 1-9, 2008.  Type: Article

Can we use machines to analyze paintings? This paper presents a new technique--the prevailing orientation extraction technique (POET)--that is designed for the “automatic extraction of the orientation of bru...

Nov 25 2009
  Qualitative part-based models in content-based image retrieval
Bilodeau G., Bergevin R. Machine Vision and Applications 18(5): 275-287, 2007.  Type: Article

Bilodeau and Bergevin propose a qualitative, volumetric part-based model meant to improve the categorical invariance and viewpoint invariance in content-based image retrieval. In addition, the paper presents a novel two-step part-categ...

Jul 8 2008
  Volumetric model reconstruction from unrestricted camera views based on the photo-consistency of 3D voxel mask
Chiang K., Chan K. Machine Vision and Applications 17(4): 229-250, 2006.  Type: Article

The development of a three-dimensional (3D) model reconstruction system using images from a mobile camera is described in this paper. The system consists of four steps: camera calibration, volumetric model reconstruction, surface model...

Dec 27 2007
  Hybrid object labelling in digital images
Martín-Herrero J. Machine Vision and Applications 18(1): 1-15, 2007.  Type: Article

Labelling is a computer-vision task that identifies all the connected pixels of an object with the same label. It is often followed by the feature extraction, characterization, for the further classification of objects....

Dec 21 2007
 
 
 
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