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Keywords
(9)
Generic Model
Geometric Structure
Image Coding
Image Modeling
Linear Filtering
Model Combination
Model Fitting
Sparse Coding
Markov Random Field
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Primal sketch: Integrating structure and texture
Primal sketch: Integrating structure and texture,10.1016/j.cviu.2005.09.004,Computer Vision and Image Understanding,Chengen Guo,SongChun Zhu,Ying Ni
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Primal sketch: Integrating structure and texture
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Citations: 15
)
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Chengen Guo
,
SongChun Zhu
,
Ying Nian Wu
This article proposes a generative image model, which is called ''primal sketch,'' following Marr's insight and terminology. This model combines two prominent classes of generative models, namely,
sparse coding
model and
Markov random field
model, for representing geometric structures and stochastic textures, respectively. Specifically, the image lattice is divided into structure domain and texture domain. The
sparse coding
model is used to represent image intensities on the structure domain, where edge and ridge segments are mod eled by
image coding
functions with explicit geometric and photometric parameters. The edge and ridge segments form a sketch graph whose nodes are corners and junctions. The sketch graph is governed by a simple spatial prior model. The
Markov random field
model is used to summarize image intensities on the texture domain, where the texture patterns are characterized by feature statistics in the form of marginal histograms of responses from a set of linear filters. The Markov random fields inpaint the texture domain while interpo lating the structure domain seamlessly. A sketch pursuit algorithm is proposed for model fitting. A number of experiments on real images are shown to demonstrate the model and the algorithm.
Journal:
Computer Vision and Image Understanding  CVIU
, vol. 106, no. 1, pp. 519, 2007
DOI:
10.1016/j.cviu.2005.09.004
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Citation Context
(8)
...The fi process of line segment uses the primal sketch model (
Guo et al, 2007
)...
Tianfu Wu
,
et al.
A Numerical Study of the BottomUp and TopDown Inference Processes in...
...The question as to what kinds of models are suitable for comprehensively modeling the very different types of structure that typically cooccur in images has featured prominently in the work of Zhu and his coworkers (Guo, Zhu, & Wu,
2003
,
2007
; Tu, Chen, Yuille, & Zhu,
2005
; Zhu & Mumford,
2006
)...
Nicolas Le Roux
,
et al.
Learning a Generative Model of Images by Factoring Appearance and Shap...
...Based on this theory, they proposed the primal sketch model [
9
] which integrates the sparse coding formulation and the Markov random field theory, and further extended the model to propose a novel object representation, i.e., the active basis model [25]...
Xiaobai Liu
,
et al.
Adaptive Object Tracking by Learning Hybrid Template Online
...Fig. 3 illustrates a rough but intuitive idea about two major tasks of the categorical representation: • Task1: Extract lowlevel visual features such as coherent regions (segmentation) [13]–[15], salient edges [16], [
17
], filterbank responses (textons) [18], [19], SIFT descriptors [20], color histograms...
...In this generative model, a configuration corresponds to a primal sketch graph [
17
]...
...18 and 19, a sketch graph is composed of a set of control points representing landmark positions, which are further grouped into a set of curves to form ‘‘sketches.’’ This is similar in spirit to the active shape models (ASMs) [76], and is closely related to the primal sketch representation [
17
]...
Benjamin Z. Yao
,
et al.
I2T: Image Parsing to Text Description
...One is the primal sketch model for generic images at the middle level (
Guo et al., 2007
), and the other is the mixed templates for object categories (Si, 2009)...
...In Section 5.1 ,w e will present a mathematical model for primal sketch based on our early work (
Guo et al., 2007
), which integrates the implicit and explicit manifolds seamlessly...
...We refer to two early papers on texton (Zhu et al., 2005) and primal sketch (
Guo et al., 2007
) for detailed discussions...
...A mathematical model was proposed by
Guo et al. (2007)
...
...Fig. 20 illustrates the primal sketch model from
Guo et al. (2007)
, the image domain K is divided into two disjoint parts: the sketchable part Ksk for structures in (e) and nonsketchable part for textures in (d):...
...We refer to
Guo et al. (2007)
for details of the primal sketch model...
...This is a very parsimonious representation and it needs much less bytes than jpeg coding (see the bit count in (
Guo et al., 2007
))...
...Fig. 20. Example of the primal sketch representation, from
Guo et al. (2007)
...
SongChun Zhu
,
et al.
Learning explicit and implicit visual manifolds by information project...
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Citations
(15)
A Numerical Study of the BottomUp and TopDown Inference Processes in AndOr Graphs
(
Citations: 5
)
Tianfu Wu
,
SongChun Zhu
Journal:
International Journal of Computer Vision  IJCV
, vol. 93, no. 2, pp. 226252, 2011
Learning a Generative Model of Images by Factoring Appearance and Shape
(
Citations: 3
)
Nicolas Le Roux
,
Nicolas Heess
,
Jamie Shotton
,
John M. Winn
Journal:
Neural Computation  NECO
, vol. 23, no. 3, pp. 593650, 2011
Adaptive Object Tracking by Learning Hybrid Template Online
Xiaobai Liu
,
Liang Lin
,
Shuicheng Yan
,
Hai Jin
,
Wenbin Jiang
Journal:
IEEE Transactions on Circuits and Systems for Video Technology  TCSV
, vol. 21, no. 11, pp. 15881599, 2011
I2T: Image Parsing to Text Description
(
Citations: 9
)
Benjamin Z. Yao
,
Xiong Yang
,
Liang Lin
,
Mun Wai Lee
,
SongChun Zhu
Journal:
Proceedings of The IEEE  PIEEE
, vol. 98, no. 8, pp. 14851508, 2010
Sisley the abstract painter
(
Citations: 3
)
Mingtian Zhao
,
SongChun Zhu
Conference:
NonPhotorealistic Animation and Rendering  NPAR
, pp. 99107, 2010