DETERMINING PLANE-SWEEP SAMPLING POINTS IN IMAGE SPACE USING THE CROSS-RATIO FOR IMAGE-BASED DEPTH ESTIMATION

Compressed-Sampling-Based Image Saliency Detection in the Wavelet Domain

When watching natural scenes, an overwhelming amount of information is delivered to the Human Visual System (HVS). The optic nerve is estimated to receive around 108 bits of information a second. This large amount of information can’t be processed right away through our neural system. Visual attention mechanism enables HVS to spend neural resources efficiently, only on the selected parts of the...

Semantic-Based Image Retrial in the VQ Compressed Domain using Image Annotation Statistical Models

Depth Estimation using Defocused Stereo Image Pairs

In this paper we propose a new method for estimating depth using a fusion of defocus and stereo, that relaxes the assumption of a pinhole model of the camera. It avoids the correspondence problem of stereo. Main advantage of this algorithm is simultaneous recovery of depth and image restoration. The depth (blur or disparity) in the scene and the intensity process in the focused image are indivi...

Persian sign language detection based on normalized depth image information

There are many reports of using the Kinect to detect hand and finger gestures after release of device by Microsoft. The depth information is mostly used to separate the hand image in the two-dimension of RGB domain. This paper proposes a method in which the depth information plays a more dominant role. Using a threshold in depth space first the hand template is extracted. Then in 3D domain the ...

Sampling in image space for vision based SLAM

Loop closing in vision based SLAM applications is a difficult task. Comparing new image data with all previous image data acquired for the map is practically impossible because of the high computational costs. This problem is part of the bigger problem to acquire local geometric constraints from sensor data for geometric map building termed data association. Commonly the computational costs are...