This paper presents a novel depth quality assessment scheme based on human visual perception characteristics.At first,cr oss validation is performed to get the difference map of the depth map to be assessed.Then the oc clusion mask is extracted to remove the occluded pixels.According to the characteristics of hum an vision,considering the factors such as background luminance masking,texture masking and edge sensi tivity,the error visibility threshold of each pixel is obtained by using the model of just notice able distortion (JND).Finall y,the error pixels rate is calculated as a metric to assess the quality of the depth map.Experimental resu lts show that the proposed algorithm can detect the error pixels accurately.The average value of the correlation coefficient between the proposed metric and the full reference metric is 0.8330and the maximum is 0.9338.The average value of the correlation coefficient between the proposed metric and the mean square error of the synthesized virtual view is 0.8579and the maximum is 0.9283.