Results 1 - 10
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236
3D Model Acquisition from Extended Image Sequences
, 1995
"... This paper describes the extraction of 3D geometrical data from image sequences, for the purpose of creating 3D models of objects in the world. The approach is uncalibrated - camera internal parameters and camera motion are not known or required. Processing an image sequence is underpinned by token ..."
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Cited by 236 (29 self)
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This paper describes the extraction of 3D geometrical data from image sequences, for the purpose of creating 3D models of objects in the world. The approach is uncalibrated - camera internal parameters and camera motion are not known or required. Processing an image sequence is underpinned
Motion Based Segmentation
- In International Conference on Pattern Recognition
, 1990
"... Images of scenes with moving objects, taken from a moving camera, have several motion components. The dominant image motion is usually generated by the camera motion which affects the stationary background. Moving objects contribute to other motion components. An iterative method is described for se ..."
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Cited by 19 (3 self)
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. The motion estimates and the segmentation improve with every iteration, and the iteration stops when a stable segmentation is obtained. Accurate motion parameters are recovered for each segment. The proposed process is performed directly on grcydevel images, and does not require detection of special feature
Similarity-Based Motion Tracking of Cells in Microscopic Images
"... Abstract. Live-cell assays are used to study the dynamic functional cellular processes in high-content screening of drug discovery processes. The large amount of image data created during the screening requires automatic image-analysis procedures that can describe these dynamic processes. One class ..."
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Abstract. Live-cell assays are used to study the dynamic functional cellular processes in high-content screening of drug discovery processes. The large amount of image data created during the screening requires automatic image-analysis procedures that can describe these dynamic processes. One class
An analog motion field detection chip for image segmentation
- IEEE Trans. on
, 2002
"... Abstract—In this paper, we propose an analog integrated circuit to compute the motion field of a time-varying image by means of a multiple-constraint method. The chip converts optical input to electrical form with an array of on-chip image sensors. A resistive network is used to smooth the input ima ..."
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Cited by 5 (0 self)
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-flow based motion field detection chip is fabricated using a 0.5- m CMOS process. Measurement results show that the proposed IC can compute the optical-flow field in a scene efficiently and correctly so as to facili-tate segmentation of moving objects in image sequences. Index Terms—Analog integrated
Camera phone based motion sensing: Interaction techniques, applications and performance study
- In Proc. UIST ’06 (2006), ACM
, 2006
"... This paper presents TinyMotion, a pure software approach for detecting a mobile phone user’s hand movement in real time by analyzing image sequences captured by the built-in camera. We present the design and implementation of TinyMotion and several interactive applications based on TinyMotion. Throu ..."
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Cited by 57 (2 self)
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This paper presents TinyMotion, a pure software approach for detecting a mobile phone user’s hand movement in real time by analyzing image sequences captured by the built-in camera. We present the design and implementation of TinyMotion and several interactive applications based on TinyMotion
Semantic structure from motion
- In CVPR
"... Conventional rigid structure from motion (SFM) addresses the problem of recovering the camera parameters (motion) and the 3D locations (structure) of scene points, given observed 2D image feature points. In this paper, we propose a new formulation called Semantic Structure From Motion (SSFM). In add ..."
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Cited by 43 (9 self)
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Conventional rigid structure from motion (SFM) addresses the problem of recovering the camera parameters (motion) and the 3D locations (structure) of scene points, given observed 2D image feature points. In this paper, we propose a new formulation called Semantic Structure From Motion (SSFM
The Dynamic Retina: Contrast and Motion Detection for Active Vision
- Inter. J. Computer Vision
, 1993
"... . This paper presents an efficient, biologically-inspired early vision architecture, the dynamic retina, that is well-suited to highly active and responsive vision platforms. The dynamic retina exploits normally undesirable camera motion as a necessary step in detecting image contrast, by using dyna ..."
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Cited by 6 (0 self)
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on light-adaptation models for vertebrate receptors. Together, the movements and response function over time compute image contrast. The dynamic retina is also useful for motion analysis, since moving objects processed by the system leave a clear signature from which motion parameters can be extracted
Convolution-Based Edge Detection for Image/Video in Block DCT Domain
- Journal of Visual Communications and Image Representation
, 1996
"... This paper presents a scheme for performing convolution operation directly on compressed images without decompressing them first. The use of such a scheme is demonstrated and discussed by showing the implementation of the Laplacian-of-Gaussian operator for edge detection. We present a complete evalu ..."
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Cited by 16 (2 self)
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but also yields better edges. Keywords: Block DCT convolution, DCT domain, edge detection, image compression, Laplacian-of-Gaussian. I. Introduction The lower data rate of compressed video such as motion JPEG and MPEG offers an attractive lowcost possibility of software-based real time processing
Content based image retrieval approaches for detection of malarial parasite in blood images
- International Journal of Biometrics and Bioinformatics (IJBB
, 2011
"... Malaria is a serious global health problem, and rapid, accurate diagnosis is required to control the disease. An image processing algorithm to automate the diagnosis of malaria in blood images is proposed in this paper. The image classification system is designed to positively identify malaria paras ..."
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Cited by 3 (0 self)
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present on microscopic slides. Image features based on colour, texture and the geometry of the cells and parasites are generated, as well as features that make use of a priori knowledge of the classification problem and mimic features used by human technicians. A two-stage tree classifier using back
Transforming Camera Geometry to A Virtual Downward-Looking Camera: Robust Ego-Motion Estimation and Ground-Layer Detection
, 2003
"... This paper presents a robust method to solve the two coupled problems: ground layer detection and vehicle egomotion estimation, which appear in visual navigation. We virtually rotate the camera to the downward-looking pose in order to exploit the fact that the vehicle motion is roughly constrained t ..."
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Cited by 27 (1 self)
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-looking camera enables us to estimate the planar ego-motions even for small image patches. Such local measurements are then combined together, by a robust weighting scheme based on both ground plane geometry and motion compensated intensity residuals, for a global ego-motion estimation and ground plane detection
Results 1 - 10
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236