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We propose a method for measuring a spin of a ball accurately by the image registration with a 3D model. The proposed method estimates the parameters of the transformation between two images containing a known shape object with depth information. The Gauss-Newton method is used to minimize the residuals of intensities of the two images, and the rotation and(More)
Atmospheric phenomena such as rainbows and halos are caused by interference, diffraction and dispersion of light. To render the kinds of atmospheric phenomena, the spectrum of light should be taken into account because the optical phenomena greatly depend on the wavelength. Traditionally, rainbows are rendered by means of geometric optics. These methods,(More)
We propose a method for extracting a rotating limb region and estimating its motion parameters, which is based on the curl of optical flow. Regarding the optical flow as a vector field, the proposed method computes the curl of the optical flow to extract a rotating region. The method assumes that one angular velocity varies in a short time period. By using(More)
An early detection of colorectal cancer through colorectal endoscopy is important and widely used in hospitals as a standard medical procedure. During colonoscopy, the lesions of colorectal tumors on the colon surface are visually inspected by a Narrow Band Imaging (NBI) zoom-videoendoscope. By using the visual appearance of colorectal tumors in endoscopic(More)
In this paper we propose a recognition system for classifying NBI images of colorectal tumors into three types (A, B, and C3) of structures of microvessels on the colorectal surface. These types have a strong correlation with histologic diagnosis: hyperplasias (HP), tubular adenomas (TA), and carcinomas with massive submucosal invasion (SM-m). Images are(More)
In this paper we propose CUDA-based implementations of two 3D point sets registration algorithms: Soft assign and EM-ICP. Both algorithms are known for being time demanding, even on modern multi-core CPUs. Our GPUbased implementations vastly outperform CPU ones. For instance, our CUDA EM-ICP aligns 5000 points in less than 7 seconds on a GeForce 8800GT,(More)
In this paper, we propose a method for extracting string-like objects in a still image for background restoration. We assume that the object regions occluding the background are long and narrow, and contrasted in intensity with background. First the method introduces a circle contrast, the intensity difference between a pixel and those on a circle around,(More)
We propose a method for correcting image distortion due to camera lenses by calibrating intrinsic camera parameters. The proposed method is based on image registration and doesn't require point-to-point correspondence. Parameters of three successive transformations –– view change, radial distortion and illumination change –– are estimated using the(More)
In this paper we show how Grassmann distances and Grassmann kernels can be efficiently used to learn and classify face sequence videos. We propose two new methods, the Grassmann Distance Mutual Subspace Method (GD-MSM) which uses Grassmann distances to define the similarity between subspaces of images, and the Grassmann Kernel Support Vector Machine(More)