Coding of Depth-maps Using Piecewise Linear Functions

نویسندگان

  • Yannick Morvan
  • Dirk Farin
  • Peter H. N. de With
چکیده

An efficient way to transmit multi-view images is to send a single texture image together with a corresponding depth-map. The depth-map specifies the distance between each pixel and the camera. With this information, arbitrary 3-D views can be generated at the decoder. In this paper, we propose a new algorithm for the coding of depth-maps that provides an efficient representation of smooth regions as well as geometric features such as object contours. Our algorithm uses a segmentation procedure based on a quadtree decomposition and models the depth-map content with piecewise linear functions. We achieved a bit-rate as low as 0.33 bit/pixel, without any entropy coding. The attractivity of the coding algorithm is that, by exploiting specific properties of depth-maps, no degradations are shown along discontinuities, which is important for depth perception.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Planelet Transform: A New Geometrical Wavelet for Compression of Kinect-like Depth Images

With the advent of cheap indoor RGB-D sensors, proper representation of piecewise planar depth images is crucial toward an effective compression method. Although there exist geometrical wavelets for optimal representation of piecewise constant and piecewise linear images (i.e. wedgelets and platelets), an adaptation to piecewise linear fractional functions which correspond to depth variation ov...

متن کامل

gH-differentiable of the 2th-order functions interpolating

Fuzzy Hermite interpolation of 5th degree generalizes Lagrange interpolation by fitting a polynomial to a function f that not only interpolates f at each knot but also interpolates two number of consecutive Generalized Hukuhara derivatives of f at each knot. The provided solution for the 5th degree fuzzy Hermite interpolation problem in this paper is based on cardinal basis functions linear com...

متن کامل

On the Number of Linear Regions of Deep Neural Networks

We study the complexity of functions computable by deep feedforward neural networks with piecewise linear activations in terms of the symmetries and the number of linear regions that they have. Deep networks are able to sequentially map portions of each layer’s input-space to the same output. In this way, deep models compute functions that react equally to complicated patterns of different inpu...

متن کامل

Statistical Properties of Digital Piecewise Linear Chaotic Maps and Their Roles in Cryptography and Pseudo-Random Coding

The applications of digital chaotic maps in discrete-time chaotic cryptography and pseudo-random coding are widely studied recently. However, the statistical properties of digital chaotic maps are rather different from the continuous ones, which impedes the theoretical analyses of the digital chaotic ciphers and pseudo-random coding. This paper detailedly investigates the statistical properties...

متن کامل

Studying Platelet-Based Depth Map Coding

The multi-view plus depth (MVD) format is a promising representation approach for 3D and free viewpoint video systems as it allows synthesizing more views at the decoder than those explicitly coded at the encoder. This format represents each view of a visual scene with both texture (array of color pixels) and a depth map which provides information about the 3D scene geometry. Thus, for the tran...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005