Zuojin Li

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One of the goals of planetary exploration is to cache rock samples for subsequent return to Earth in the future Mars Sample Return (MSR) mission. This paper presents a method of binocular camera calibration. Robotic vision has become a very popular field in recent years due to the numerous promising applications it may enhance. However, errors within the(More)
In order to extract interest objects in low quality image sequences from fisheries management, this paper proposes a new significant feature extraction method based on cascade framework. This algorithm involves pre-processing image sequences, clipping interesting areas, extracting SURF features, removing boundary features, and acquiring significant features(More)
The brain visual cortical simple cells have strong response to notable edges with directivity and contrast of light and dark, as well as the non-classical receptive fields of the neurons in visual cortex that have inhibition function to small light-spot stimulation. Because of this property, human vision system contrast sensitivity tends to dynamic videos.(More)
—Group abnormal behaviors often occur abruptly under video surveillance, thus bringing serious consequences. How to recognize these behaviors correctly has always been the difficulty in research on intelligence video surveillance. This paper is based on the basic theory of Markov Random Fields to extract the features of those in video images, so as to(More)
—As we all know, human vision is quite sensitive to abnormal behaviors, which is attributed to the discharging of the receptor cells in the brain visual cortex and the ensuing bioelectrical energy features. Inspired by this biological nature, this paper constructs a computing model to describe video dynamic energy, which can further improve the perception(More)
Gabor function can be expressed as the alternate dual-function of the positioning of the characteristics and selectivity of the spatial frequency of the receptive field, which can effectively describe the property of the receptive field of the simple cells in human visual cortex. However, the existing literature provides no strict mathematical proof for(More)
The Locally Linear Embedding (LLE) algorithm is an unsupervised nonlinear dimensionality-reduction method, which reports a low recognition rate in classification because it gives no consideration to the label information of sample distribution. In this paper, a classification method of supervised LLE (SLLE) based on Linear Discriminant Analysis (LDA) is(More)
Natural images recognition is an important area of machine vision. This paper presents a novel approach for natural images recognition, based on the non-Gaussian distribution property of natural images. In this new method for recognition, first supervised classification is conducted to the natural images based on their label value, then independent(More)
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