A depth control method, that comprises: receiving a plurality of input images corresponding to different views; generating at least one depth-related information map according to the input images; estimating a confidence level by measuring quality of the at least one depth-related information map; and adjusting the at least one depth-related information map according to the confidence level, wherein the step of adjusting the at least one depth-related information map comprises: determining an adjustment value for each depth-related value D Estimated included in a depth-related information map according to the confidence level to generate an adjusted depth-related value D Adjusted for each depth-related value D Estimated; and applying adjustment values to respective depth-related values D Estimated included in the depth-related information map, characterized in that the step of determining the adjustment value for each depth-related value D Estimated comprises: determining a global depth-related value D Global according to all depth-related values included in the depth-related information map; determining a local depth-related value D Local for each depth-related value D Estimated included in the depth-related information map according to the global depth-related value D Global; setting a first depth control weighting factor β; setting a second depth control weighting factor α according to the confidence level; and multiplying the second depth control weighting factor α and each local depth-related value D Local and multiplying the first depth control weighting factor β and the global depth-related value D Global to determine the adjustment value for each depth-related value D Estimated; wherein the adjusted depth-related value D Adjusted for each depth-related value D Estimated is expressed by the folowing equation: D Adjusted = D Estimated − α • D Local − β • D Global. receiving a plurality of input images corresponding to different views; generating at least one depth-related information map according to the input images; estimating a confidence level by measuring quality of the at least one depth-related information map; and adjusting the at least one depth-related information map according to the confidence level, wherein determining an adjustment value for each depth-related value D Estimated included in a depth-related information map according to the confidence level to generate an adjusted depth-related value D Adjusted for each depth-related value D Estimated; and determining a global depth-related value D Global according to all depth-related values included in the depth-related information map; determining a local depth-related value D Local for each depth-related value D Estimated included in the depth-related information map according to the global depth-related value D Global; setting a first depth control weighting factor β; setting a second depth control weighting factor α according to the confidence level; and multiplying the second depth control weighting factor α and each local depth-related value D Local and multiplying the first depth control weighting factor β and the global depth-related value D Global to determine the adjustment value for each depth-related value D Estimated; wherein the adjusted depth-related value D Adjusted for each depth-related value D Estimated is expressed by the folowing equation: D Adjusted = D Estimated − α • D Local − β • D Global.