• Title/Summary/Keyword: Image Synthesis

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3D View Synthesis with Feature-Based Warping

  • Hu, Ningning;Zhao, Yao;Bai, Huihui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.11
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    • pp.5506-5521
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    • 2017
  • Three-dimensional video (3DV), as the new generation of video format standard, can provide the viewers with a vivid screen sense and a realistic stereo impression. Meanwhile the view synthesis has become an important issue for 3DV application. Differently from the conventional methods based on depth, in this paper we propose a new view synthesis algorithm, which can employ the correlation among views and warp in the image domain only. There are mainly two contributions. One is the incorporation of sobel edge points into feature extraction and matching, which can obtain a better stable homography and then a visual comfortable synthesis view compared to SIFT points only. The other is a novel image blending method proposed to obtain a better synthesis image. Experimental results demonstrate that the proposed method can improve the synthesis quality both in subjectivity and objectivity.

Reference Functions for Synthesis and Analysis of Multiview and Integral Images

  • Saveljev, Vladimir;Kim, Sung-Kyu
    • Journal of the Optical Society of Korea
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    • v.17 no.2
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    • pp.148-161
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    • 2013
  • We propose one- and two-dimensional reference functions for processing of integral/multiview imaging. The functions provide the synthesis/analysis of the integral image by distance, as an alternative to the composition/decomposition by view images (directions). The synthesized image was observed experimentally. In analysis confirmed by simulation in a qualitative sense, the distance was obtained by convolution of the integral image with the reference functions.

Analysis and synthesis of facial expressions in knowledge-based image coding (지적화상부호화에 있어서 표정분석과 합성)

  • ;Harashima, Hiroshi;Takebe, Tsyosi
    • 제어로봇시스템학회:학술대회논문집
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    • 1989.10a
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    • pp.451-456
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    • 1989
  • New image coding system for facial images called 'Knowledge-based image coding' is described, in which input image is analyzed and output image is synthesized using analysis results. Analysis and synthesis method of facial expressions are presented. Synthesis rules are determined on the basis of facial muscles and are also used in analysis process to produce a faithful reconstruction of the original image. A number of examples are shown.

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Facial Image Synthesis Considering Illumination Variations on Mobile Devices (모바일 기기에서 조명 변화를 고려한 얼굴 영상 합성)

  • Kwon, Ji-In;Lee, Sang-Hoon;Choi, Soo-Mi
    • Journal of the HCI Society of Korea
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    • v.6 no.1
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    • pp.21-26
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    • 2011
  • This paper presents a robust method for facial image synthesis under varying illumination by combining illumination correction and Poisson image processing techniques. The presented method automatically detects skin area and corrects highly saturated regions that can cause bad effects on the final synthesis image. The developed method can be applied to various facial synthesis applications by correcting illumination variations that can occur frequently on photos taken with a camera phone.

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Panoramic Image Synthesis Using Flash and No-Flash Image Pairs (Flash 영상과 No-flash 영상을 이용한 파노라마 영상합성)

  • Ye, Sang-Myoung;Park, Rae-Hong
    • Proceedings of the IEEK Conference
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    • 2007.07a
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    • pp.355-356
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    • 2007
  • This paper proposes a new panoramic image synthesis method using flash and no-flash image pairs, which reduces undesirable artifacts. Generally, in panoramic images, it is difficult to determine to use a flash in indoor environment. A flash image has unwanted artifacts such as hot spots and tunnel effect whereas a no-flash image also has artifacts like glass reflection. We derive cross projection tensors using flash and no-flash image pairs and transform the gradient field of a no-flash image using them. The image reconstructed from the modified gradient provides enhanced results, which are applied to synthesis of panoramic images. The proposed method can provide a better panoramic image than the conventional method. Experimental results show the effectiveness of the proposed method.

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Synchronizationof Synthetic Facial Image Sequences and Synthetic Speech for Virtual Reality (가상현실을 위한 합성얼굴 동영상과 합성음성의 동기구현)

  • 최장석;이기영
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.35S no.7
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    • pp.95-102
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    • 1998
  • This paper proposes a synchronization method of synthetic facial iamge sequences and synthetic speech. The LP-PSOLA synthesizes the speech for each demi-syllable. We provide the 3,040 demi-syllables for unlimited synthesis of the Korean speech. For synthesis of the Facial image sequences, the paper defines the total 11 fundermental patterns for the lip shapes of the Korean consonants and vowels. The fundermental lip shapes allow us to pronounce all Korean sentences. Image synthesis method assigns the fundermental lip shapes to the key frames according to the initial, the middle and the final sound of each syllable in korean input text. The method interpolates the naturally changing lip shapes in inbetween frames. The number of the inbetween frames is estimated from the duration time of each syllable of the synthetic speech. The estimation accomplishes synchronization of the facial image sequences and speech. In speech synthesis, disk memory is required to store 3,040 demi-syllable. In synthesis of the facial image sequences, however, the disk memory is required to store only one image, because all frames are synthesized from the neutral face. Above method realizes synchronization of system which can real the Korean sentences with the synthetic speech and the synthetic facial iage sequences.

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A Study on Postproduction Image Synthesis based on Resource Types (리소스 형식 기반의 포스트프로덕션 영상합성에 관한 연구)

  • Jung Eun-Ju;Kim Jae-Joon
    • Journal of Internet Computing and Services
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    • v.7 no.2
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    • pp.1-8
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    • 2006
  • Study of effective synthesis has been amplified in working-level image process corresponding to one of postproduction synthesis ares. However, it is very role to recognize the overall procedure of image composition and unprepared state on a research on variety and complexity for the specific composition method, it is necessary to materialize the overall pattern that can understand stream of image and standardization. In order to embody, it may be desirable that improve working efficiency of database by form called resources. In this paper, by providing the several values such as matte, key, motion, scale, position, or opacity characteristics, we directed th solving problems through the detailed examples while the user has the difficulty on image synthesis.

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Synthesis of Multi-View Images Based on a Convergence Camera Model

  • Choi, Hyun-Jun
    • Journal of information and communication convergence engineering
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    • v.9 no.2
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    • pp.197-200
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    • 2011
  • In this paper, we propose a multi-view stereoscopic image synthesis algorithm for 3DTV system using depth information with an RGB texture from a depth camera. The proposed algorithm synthesizes multi-view images which a virtual convergence camera model could generate. Experimental results showed that the performance of the proposed algorithm is better than those of conventional methods.

Infrared Image Synthesis of Real Background and Target Model (실제 배경과 표적모델의 적외선 영상 합성)

  • Ahn, Sang-Ho;Kim, Young-Choon;Kim, Ki-Hong
    • Journal of the Korea Institute of Military Science and Technology
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    • v.16 no.2
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    • pp.207-213
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    • 2013
  • An infrared image synthetic method is proposed for infrared system simulation. The synthesis image uses a background IR image captured from real scene and a target IR modeling image. The radiances related with maximum and minimum temperatures of the background and target images are calculated from the Planck's blackbody equation. Based on them, the background and target images are compensated and synthesized. The proposed method is simulated and the IR target images are generated by RadThermIR software.

Virtual Contamination Lane Image and Video Generation Method for the Performance Evaluation of the Lane Departure Warning System (차선 이탈 경고 시스템의 성능 검증을 위한 가상의 오염 차선 이미지 및 비디오 생성 방법)

  • Kwak, Jae-Ho;Kim, Whoi-Yul
    • Transactions of the Korean Society of Automotive Engineers
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    • v.24 no.6
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    • pp.627-634
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    • 2016
  • In this paper, an augmented video generation method to evaluate the performance of lane departure warning system is proposed. In our system, the input is a video which have road scene with general clean lane, and the content of output video is the same but the lane is synthesized with contamination image. In order to synthesize the contamination lane image, two approaches were used. One is example-based image synthesis, and the other is background-based image synthesis. Example-based image synthesis is generated in the assumption of the situation that contamination is applied to the lane, and background-based image synthesis is for the situation that the lane is erased due to aging. In this paper, a new contamination pattern generation method using Gaussian function is also proposed in order to produce contamination with various shape and size. The contamination lane video can be generated by shifting synthesized image as lane movement amount obtained empirically. Our experiment showed that the similarity between the generated contamination lane image and real lane image is over 90 %. Futhermore, we can verify the reliability of the video generated from the proposed method through the analysis of the change of lane recognition rate. In other words, the recognition rate based on the video generated from the proposed method is very similar to that of the real contamination lane video.