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Volume 4 No. 2
05 June 2018

Hirotake Yamazoe, Hiroshi Habe, Ikuhisa Mitsugami, Yasushi Yagi

2018, 4(2): 103-111.   doi:10.1007/s41095-017-0103-7
Abstract ( 288 HTML ( 5   PDF(5819KB) ( 184 )   Save

This paper proposes a depth measurement error model for consumer depth cameras such as the Microsoft Kinect, and a corresponding calibration method. These devices were originally designed as video game interfaces, and their output depth maps usually lack sufficient accuracy for 3D measurement. Models have been proposed to reduce these depth errors, but they only consider camera-related causes. Since the depth sensors are based on projector-camera systems, we should also consider projector-rel...

Dawar Khan, Dong-Ming Yan, Fan Ding, Yixin Zhuang, Xiaopeng Zhang

2018, 4(2): 113-122.   doi:10.1007/s41095-018-0107-y
Abstract ( 194 HTML ( 1   PDF(31473KB) ( 35 )   Save

Surface remeshing is widely required in modeling, animation, simulation, and many other computer graphics applications. Improving the elements’ quality is a challenging task in surface remeshing. Existing methods often fail to efficiently remove poor-quality elements especially in regions with sharp features. In this paper, we propose and use a robust segmentation method followed by remeshing the segmented mesh. Mesh segmentation is initiated using an existing Live-wire interaction approach a...

Yuan Liang, Fei Xu, Song-Hai Zhang, Yu-Kun Lai, Taijiang Mu

2018, 4(2): 123-137.   doi:10.1007/s41095-018-0110-3
Abstract ( 243 HTML ( 0   PDF(11035KB) ( 24 )   Save

We consider the problem of learning a representation of both spatial relations and dependencies between objects for indoor scene design. We propose a novel knowledge graph framework based on the entity-relation model for representation of facts in indoor scene design, and further develop a weakly-supervised algorithm for extracting the knowledge graph representation from a small dataset using both structure and parameter learning. The proposed framework is flexible, transferable, and readable...

Po-Huan Tseng, Shih-Hsuan Hung, Pei-Ying Chiang, Chih-Yuan Yao, Hung-Kuo Chu

2018, 4(2): 139-147.   doi:10.1007/s41095-018-0105-0
Abstract ( 298 HTML ( 0   PDF(8671KB) ( 17 )   Save

Interacting with digital contents in 3D is an essential task in various applications such as modeling packages, gaming, virtual reality, etc. Traditional interfaces using keyboard and mouse or trackball usually require a non-trivial amount of working space as well as a learning process. We present the design of EZ-Manipulator, a new 3D manipulation interface using smartphones that supports mobile, fast, and ambiguity-free interaction with 3D objects. Our system leverages the built-in multi-to...

Hongwei Lin, Jingning Zhang, Chenkai Xu

2018, 4(2): 149-160.   doi:10.1007/s41095-018-0109-9
Abstract ( 193 HTML ( 0   PDF(11850KB) ( 14 )   Save

Diffusion curves can be used to generate vector graphics images with smooth variation by solving Poisson equations. However, using the classical diffusion curve model, it is difficult to ensure that the generated diffusion image satisfies desired constraints. In this paper, we develop a model for producing a diffusion image by solving a diffusion equation with diffusion coefficients, in which color layers and coefficient layers are introduced to facilitate the generation of the diffusion imag...

Chu Han, Xueting Liu, Lok Tsun Sinn, Tien-Tsin Wong

2018, 4(2): 161-172.   doi:10.1007/s41095-018-0104-1
Abstract ( 248 HTML ( 0   PDF(14910KB) ( 17 )   Save

Shape matching plays an important role in various computer vision and graphics applications such as shape retrieval, object detection, image editing, image retrieval, etc. However, detecting shapes in cluttered images is still quite challenging due to the incomplete edges and changing perspective. In this paper, we propose a novel approach that can efficiently identify a queried shape in a cluttered image. The core idea is to acquire the transformation from the queried shape to the cluttered ...

Huisi Wu, Xiaomeng Lyu, Zhenkun Wen

2018, 4(2): 173-184.   doi:10.1007/s41095-018-0106-z
Abstract ( 381 HTML ( 0   PDF(32301KB) ( 29 )   Save

Texture synthesis is widely used for modeling the appearance of virtual objects. However, traditional texture synthesis techniques emphasize creation of optimal target textures, and pay insufficient attention to choice of suitable input texture exemplars. Currently, obtaining texture exemplars from natural images is a labor intensive task for the artists, requiring careful photography and significant post-processing. In this paper, we present an automatic texture exemplar extraction method ba...

Naoki Kita, Kazunori Miyata

2018, 4(2): 185-195.   doi:10.1007/s41095-018-0108-x
Abstract ( 229 HTML ( 1   PDF(46447KB) ( 19 )   Save

Visual cryptography (VC) is an encryption technique for hiding a secret image in distributed and shared images (referred to as shares). VC schemes are employed to encrypt multiple images as meaningless, noisy patterns or meaningful images. However, decrypting multiple secret images using a unique share is difficult with traditional VC. We propose an approach to hide multiple images in meaningful shares. We can decrypt multiple images simultaneously using a common share, which we refer to as a...